FIELD OF THE INVENTION
This invention relates to a digital system to manage farmers, agriculture land, crop, and government Schemes. Particularly this invention relates to a system for use by the farmers and the Government in order to manage farm land, farming, Govt. welfare schemas and services required for farmer using agri-tech solutions so as to increase agricultural production, income of the farmers and avail benefits provided under various schemes of the state Govt. and central Govt.
BACKGROUND OF THE INVENTION
Agriculture in India is done in individual capacity and without taking any kind of help from a Govt. agency and / or any other agency. The digitalization in agriculture has provided many opportunities in agriculture. It is observed that a farmer is not usually aware about the quality of agricultural land and the quantity of fertilizer and kind of seeds to be shown in the farmland, but the proposed invention will support the farmer in every aspect. However, there are some patents granted in the foreign countries regarding agricultural management system.
US patent application (US20020183867A1) teaches about an integrated system that provides agricultural solutions, enables on-line electronic business transactions, said system comprising;
i) A Farm Management System that comprises modules selected from the group of decision support tools consisting of Crop Information System, Budgetary Control, Funds Management, Inventory Management and Sales Management;
ii) Electronic commerce enabling system linked to the Farm Management System, and
iii) User interface enabling access to both, the Farm Management System and the electronic commerce enabling system.
US patent application (US20030125877A1) teaches about a method and system for characterizing a plot of land, the method comprising the steps of:
a) generating an elevation profile for the plot of land;
b) generating a soil conductivity profile for the plot of land;
c) generating a satellite image profile of the plot of land; and
d) analyzing the elevation profile, the soil conductivity profile, and the satellite image profile to generate a management zone profile.
The system for analyzing an elevational profile, a soil conductivity profile, and a satellite image profile of a plot of land, and for transforming the profiles into a management zone profile, the system comprising:
a) a memory configured with a data structure for maintaining an arrangement of the profiles; and
b) a processor configured to map attributes of the profiles into the management zone profile.
Canadian patent (CA2663917C) teaches about a method and a system for providing a variable zone-based crop inputs prescription for an agricultural field, the method comprising the steps of:
establishing a geo-referenced spatial boundary around the periphery of the field, said spatial boundary defining a geo-referenced production area;
calculating from a spectral satellite imagery encompassing the field, a normalized difference vegetation index (NDVI) distribution within said geo-referenced production area, said NDVI distribution correlated to a plurality of biomass density ranges distributed within and about said geo-referenced production area;
delineating the geo-referenced production area into a set of zones wherein each zone corresponds with a biomass density range from said NDVI distribution;
collecting a plurality of soil samples from within and about each zone;
analyzing each of the plurality of soil samples and producing therefrom a set of sampled physico-chemical data;
comparing the set of sampled physico-chemical data with a reference physico-chemical data set from an agronomic recommendation for optimal production of a selected first agricultural crop, calculating a first inputs prescription for optimal production of said first agricultural crop in said production area, said inputs prescription comprising a set of calculated input recommendations correlated to the zones delineating the production area, wherein each input recommendation is directed to a zone and comprises the differences between the reference physico-chemical data set from the agronomic recommendation and the set of sampled physico-chemical data.
The system comprising:
a component for receiving and/or acquiring inputs from at least one of high-resolution aerial imagery encompassing the field and topographical mapping within and about the field, detecting a geo-referenced spatial boundary about the field and producing therefrom at least one of a geo-referenced a map file and a polygon defining a geo-referenced production area within said geo-referenced spatial boundary;
a component for receiving and/or acquiring inputs from at least one spectral satellite imagery relating to the field, and clipping said spectral satellite imagery to said geo-referenced mapshape template thereby producing therefrom a vegetation map defining said geo-referenced production area;
at least one component for: (a) calculating from said vegetation map a NDVI index within said geo-referenced production area, said NDVI index comprising a plurality of biomass density ranges distributed within and about the geo-referenced production area, and (b) delineating said geo-referenced production area into a set of soil management zones wherein each soil management zone correlates with a biomass density range from said NDVI index;
a component for calculating a suitable number of soil sampling sites within and about the set of soil management zones, and mapping said soil sampling sites onto a geo-referenced mapshape template for reference thereto;
a component for at least one of receiving, processing, analysing, storing and reporting a set of physico-chemical data produced by analyses of a set of soil samples collected from said field according to said geo-referenced soil-sampling mapshape template, and delineating the set of analysed soil physico-chemical data into subsets wherein each subset corresponds to a soil management zone;
a component for receiving and/or acquiring inputs comprising agronomic production recommendations for at least one crop, said recommendations selected from the group consisting of fertility recommendations, pest control recommendations, pest management recommendations, crop production recommendations, and combinations thereof;
a component for comparing and/or correlating at least the subset of soil physico-chemical data for each soil management zone to said agronomic production recommendations, wherein said comparison and/or correlation includes at least one of calculating, analyzing, summarizing, storing and reporting differences therebetween the subset of soil physico-chemical data and said agronomic production recommendations; and a component for producing from at least the compared and/or correlated subset of soil physico-chemical data and agronomic production recommendations, a variable crop inputs prescription for the geo-referenced production area pertaining to production of the at least one crop, wherein the crop inputs prescription comprises a crop inputs recommendation for each of said soil management zones.
US patent application (US20160003790A1) teaches about a computerized method and system for crop development profiling, the method comprising:
inputting a plurality of data that includes crop-specific information, planting specifications, remotely-sensed imagery of a crop's location, and meteorological data that includes fine-resolution dynamical extended range weather forecast information, the fine-resolution dynamical extended range weather forecast information representing a time period extending through to a crop maturity date;
modeling the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with, and performed on, at least one computer processor, the data processing modules configured to generate a profile of crop development to a maturity stage by performing, over the course of a growing season, a crop growth model that includes the steps of:
1) generating an accumulated growing degree days estimate of crop growth stages, 2) validating the estimate of crop growth stages by comparing the estimate with a time-series profile of crop growth data derived from the remotely-sensed imagery of the crop's location,
3) determining actual growth stages from direct user-provided field observations representing at least one of temperature values and crop growth, at least one time during a crop growing season,
4) identifying differences between the estimate of crop growth stages and crop growth changes indicated by the comparison with remotely-sensed imagery and from the actual growth stages, and adjusting the estimate, and
5) generating an accumulated growing degree days projection of the crop growth stages by extracting daily maximum and minimum air temperatures from forecasted information based on the dynamical extended range weather forecast information to describe heat accumulated for a crop location for the time period extending through to the crop maturity date;
relating the accumulated growing degree days projection of the crop growth stages to the remotely-sensed imagery of a crop's location to generate a map of the crop's location representing the crop growth changes over time; and
continually updating the map of the crop's location over the course of a growing season.
The system comprising:
a computer processor; and
at least one non-transitory computer-readable storage medium operably coupled to the computer processor and having program instructions stored therein, the computer processor being operable to execute the program instructions to generate a profile of crop development to a maturity stage by performing, over the course of a growing season, a crop growth model within a plurality of data processing modules, the plurality of data processing modules including:
a data ingest module configured to input crop-specific information and planting specifications, remotely-sensed imagery, and meteorological data that includes fine-resolution dynamical extended range weather forecast information, the fine-resolution dynamical extended range weather forecast information representing a time period extending through to a crop maturity date;
an estimation module configured to generate an accumulated growing degree days estimate of crop growth stages;
a crop validation module configured to 1) compare the estimate with a time-series profile of crop growth data derived from remotely-sensed imagery of a crop's location to validate the estimate of crop growth stages, 2) determine actual growth stages from direct user-provided field observations representing at least one of temperature values and crop growth, at least one time during a crop growing season, and 3) identify differences between the estimate of crop growth stages and crop growth changes indicated by the comparison with remotely-sensed imagery and from the actual growth stages, and adjusting the estimate;
a projection module configure to generate an accumulated growing degree days projection of the crop growth stages by extracting daily maximum and minimum air temperatures from forecasted information based on the dynamical extended range weather forecast information to describe heat accumulated for a crop location for the time period extending through to the crop maturity date; and
a crop growth reporting module configured to relate the accumulated growing degree days projection of the crop growth stages to the remotely-sensed imagery of a crop's location and generate a map of the crop's location representing the crop growth changes over time, and continually update the map of the crop's location over the course of a growing season.
US patent (US7171912B2) teaches about a method and system for determining in-season crop status. The method comprising:
receiving, by a computer from a plurality of data sources, data associated with at least a portion of a field of plants, the data received from each of the plurality of data sources corresponding to a different one of a plurality of categories regarding a status of at least the portion of the field of plants, the plurality of categories including at least a crop stress category, an added fertility category, and a soils category, each of the plurality of categories associated with a plurality of category-specific sub-categories corresponding to data received from at least one of the plurality of data sources, wherein the crop stress category is associated with at least a near-infrared (NIR) imagery sub-category, wherein the added fertility category is associated with at least a frequency of nitrogen application sub-category, and wherein the soils category is associated with at least a soil texture category;
determining, by the computer, an overall score for the received data that indicates a nutrient status of at least the portion of the field of plants, wherein
determining the overall score comprises:
determining a sub-category score for each of the plurality of sub-categories;
applying a weighting factor to each sub-category score to determine a plurality of weighted sub-category scores;
determining a sub-score for each category by aggregating the plurality of weighted sub-category scores corresponding to the respective category, each sub-score corresponding to a category-specific nutrient status of at least the portion of the field of plants;
applying a weighting factor to each of the sub-scores to determine a plurality of weighted sub-scores; and
aggregating the plurality of weighted sub-scores to determine the overall score;
determining, by the computer, that the overall score satisfies a threshold value; and
outputting, by the computer, an alert in response to determining that the overall score satisfies the threshold value.
The System comprising:
at least one computer;
an image sensor; and
a Crop Status Analyzer and Alert Generator executable by the at least one computer and configured to:
receive, from a plurality of data sources that includes the image sensor, data for at least a portion of a field of crops, the data received from each of the plurality of data sources corresponding to one of a plurality of categories regarding a status of at least the portion of the field of crops, the plurality of categories including at least a crop stress category, an added fertility category, and a soils category, each of the plurality of categories associated with a plurality of sub-categories, wherein the crop stress category is associated with at least a near-infrared (NIR) imagery sub-category, wherein the added fertility category is associated with at least a frequency of nitrogen application sub-category, and wherein the soils category is associated with at least a soil texture category;
determine, based on the received data, an overall score corresponding to a nutrient status of at least the portion of the field of crops by at least determining a sub-category score for each of the plurality of sub-categories, applying a weighting factor to each sub-category score to determine a plurality of weighted sub-category scores, aggregating the plurality of weighted sub-category scores corresponding to the respective category to determine a sub-score for each category, applying a weighting factor to each of the sub-scores to determine a plurality of weighted sub-scores, and aggregating the plurality of weighted sub-scores to determine the overall score;
determine that the overall score is not included within a range of acceptable overall scores; and
output an alert in response to determining that the overall score is not included within a range of acceptable overall scores.
A PCT application (WO2020229987A1) teaches about a method and a system / device for comprehensive management of farming / agricultural activities. The method comprising the steps of:
a) collecting the real time data by said intelligent agriculture device through plurality of source, wherein said source/s comprises means for collecting and recording the data automatically from the agricultural field for plurality of crop/s or fed by a user, plurality of data networks, plurality of agents, plurality of local area agriculture centre; wherein said plurality of sources are configured to collect the data with respect to plurality of farming factors, plurality of sustainable inputs, suitable weather and environmental conditions for plurality of crops, steps for precision farming for plurality of crops, information about market place for purchasing best quality seed and for selling crops respectively, information about warehousing and logistics markets place, information about a marketplace for selling crop;
b) analysing the collected real time data in step (a) by said intelligent agriculture device with respect to the standard data stored in memory of said intelligent device which defines a safe range value for each of the farming factors where variation of the real time data value from the safe range value indicates high risk factor while real time data value overlapping with the safe range values indicates low risk factor and high productivity of the crop;
c) recommending the user based on the data analyzed in step (b), through a visual/audio means of said intelligent device, for plurality of pre and post harvest activities; wherein the recommendation for plurality of pre harvest activities comprises an advice for planting, risk assessment, credit scoring, predictive analytics for planted crops, recommendation for high quality seeds, advice for precision farming; and
wherein the recommendation for plurality of post-harvest activities comprises recommendation for local, regional retail markets, dedicated sales channel for international markets and best price warehousing, logistics access to premium markets.
The device comprising,
a) plurality of means for collecting plurality of data comprising plurality of farm factors, plurality of sustainable inputs, a timely best practice, precision farming, market place for best quality seed, warehousing and logistics markets place, marketplace for selling crop;
b) at least a communication unit to communicate plurality of data networks, plurality of agent, plurality of local area agriculture centre through plurality of communication channel;
c) a memory for storing plurality of collected data form intelligent agriculture device, user input information unit, plurality of data networks, plurality of agent, plurality of local area agriculture centre;
d) at least a processor in the communication with memory for processing to execute instructions embodied in said intelligent agriculture device, where said processor is configured to analyse plurality of data collected through plurality of source and recommends user for plurality of pre and post-harvest activities through the visual/audio means of said intelligent device.
Canadian patent (CA2967518A1) teaches about agricultural enterprise management method comprising collecting and inputting into a first data processing module for each individual agricultural field selected from an agricultural producer's farmlands, a set of historical annual plurality of physicochemical data sets and a plurality of topographical data sets collected from a set of predetermined locations in each of selected individual agricultural fields comprising the farmlands, and a set of current annual plurality of physicochemical data sets and a plurality of topographical data sets for each of said selected individual agricultural fields;
obtaining and inputting into a second data processing module for each selected individual agricultural field, a set of current annual pre-sowing crop production planning data records and crop selection data records, and optionally, a set of historical annual pre-sowing crop production planning data records and crop selection data records;
obtaining and inputting into a third data processing module for each selected individual agricultural field, a set of historical annual crop production data records, said production data records including identification of the crop produced, crop growth rate data, harvested crop biomass yield data and/or harvested crop seed yield data, chemical fertilizer input data, pesticide input data, growth modulating product input data, and a set of current annual crop production data records;
obtaining and inputting into a fourth data processing module for each selected individual agricultural field, a set of historical annual data set of agronomy service providers and cost data records listing each agronomy service delivered prior to and during each crop production cycle, and a set of current annual data set of agronomy service providers and cost data records;
obtaining and inputting into a fifth data processing module for each selected individual agricultural field, a set of historical annual data records listing harvested crop inventory records, sales records, and revenue records, and a set of current annual data records listing harvested crop inventory records, sales records, and revenue records;
obtaining and inputting into a sixth data processing module, data records pertaining to overhead expenditures incurred during one or more historical crop production cycle(s);
performing a computer-implemented analysis of the set of historical annual data and the set of current annual data for each of the data processing modules and producing therefrom one or more analysis summaries for each of said data processing modules;
creating with a computer-implemented program an agronomic prescription for each of two or more selected crops being considered for a next crop production cycle on a first selected field and generate therefrom, harvested crop yield projection, a crop production cost projection, a and a return-on-investment revenue projection for each of the selected crops on the first selected field;
performing a computer-implemented risk analysis of the analysis summaries in reference to each of the crop production prescriptions for the first selected field;
repeating (i) the creation of an agronomic prescription, a harvested crop yield projection, a crop production cost projection, a return-on-investment revenue projection for each of two or more selected crops being considered for a next crop production cycle on a second selected field, and (ii) the computer-implemented risk analysis of the analysis summaries in reference to each of the agronomic prescriptions for the second selected field;
from an inputted selection of a selected crop for the first selected field and a selected crop for a second selected field, generating with a computer-implemented program a work order comprising one or more of a supply of seed, a supply of fertility products, a supply of pesticides, performance of agronomic services, performance of equipment maintenance services, and performance of overhead services;
electronically transmitting the work order to one or more selected suppliers and/or one or more selected service providers;
generating a series of alerts associated with the work order to enable tracking of delivery of the ordered products and/or services; and generating a series of current status reports for each of the data processing modules, said current status reports electronically accessible by the producer and by an authorized and authenticated supplier or a service provider.
US patent application (US20110196710A1) teaches about a system for agriculture related services, the system comprising:
a plurality of mobile devices, wherein each of the plurality of mobile devices is employed by one of a plurality of farmers;
a server communicatively coupled to the plurality of mobile devices, wherein the server collects a farmer information from each of the plurality farmers via an associated one of the plurality of mobile devices;
the server computes an insurance amount for each of the plurality of farmers based on the corresponding farmer's farmer information and an associated historical data;
the server offers insurance to each of the plurality of farmers for a next crop cycle by presenting at least the insurance amount for that farmer, and the server acts on an insurance response received from the each of the plurality of farmers;
the server, periodically and when requested, generates a commodity report based on the farmer information collected from each of the plurality of farmers; and
the server communicates the commodity report to an external system.
A PCT application (WO2020229987A1) discloses about a method and system for comprehensive management of farming / agricultural activities. The method comprising the steps of:
a) collecting the real time data by said intelligent agriculture device through plurality of source, wherein said source/s comprises means for collecting and recording the data automatically from the agricultural field for plurality of crop/s or fed by a user, plurality of data networks, plurality of agents, plurality of local area agriculture centre; wherein said plurality of sources are configured to collect the data with respect to plurality of farming factors, plurality of sustainable inputs, suitable weather and environmental conditions for plurality of crops, steps for precision farming for plurality of crops, information about market place for purchasing best quality seed and for selling crops respectively, information about warehousing and logistics markets place, information about a marketplace for selling crop;
b) analysing the collected real time data in step (a) by said intelligent agriculture device with respect to the standard data stored in memory of said intelligent device which defines a safe range value for each of the farming factors where variation of the real time data value from the safe range value indicates high risk factor while real time data value overlapping with the safe range values indicates low risk factor and high productivity of the crop;
c) recommending the user based on the data analysed in step (b), through a visual/audio means of said intelligent device, for plurality of pre and postharvest activities ; wherein the recommendation for plurality of pre harvest activities comprises an advice for planting, risk assessment, credit scoring, predictive analytics for planted crops, recommendation for high quality seeds, advice for precision farming; and wherein the recommendation for plurality of postharvest activities comprises recommendation for local, regional retail markets, dedicated sales channel for international markets and best price warehousing, logistics access to premium markets.
The system comprising,
a) plurality of means for collecting plurality of data comprising plurality of farm factors, plurality of sustainable inputs, a timely best practice, precision farming, market place for best quality seed, warehousing and logistics markets place, marketplace for selling crop;
b) at least a communication unit to communicate plurality of data networks, plurality of agent, plurality of local area agriculture centre through plurality of communication channel;
c) a memory for storing plurality of collected data form intelligent agriculture device, user input information unit, plurality of data networks, plurality of agent, plurality of local area agriculture centre;
d) at least a processor in the communication with memory for processing to execute instructions embodied in said intelligent agriculture device, where said processor is configured to analyse plurality of data collected through plurality of source and recommends user for plurality of pre and post-harvest activities through the visual / audio means of said intelligent device.
Canadian patent (CA2967518A1) discloses a computer implemented method for management of an agricultural enterprise comprising:
collecting and inputting into a first data processing module for each individual agricultural field selected from an agricultural producer's farmlands, a set of historical annual plurality of physicochemical data sets and a plurality of topographical data sets collected from a set of predetermined locations in each of selected individual agricultural fields comprising the farmlands, and a set of current annual plurality of physicochemical data sets and a plurality of topographical data sets for each of said selected individual agricultural fields;
obtaining and inputting into a second data processing module for each selected individual agricultural field, a set of current annual pre-sowing crop production planning data records and crop selection data records, and optionally, a set of historical annual pre-sowing crop production planning data records and crop selection data records;
obtaining and inputting into a third data processing module for each selected individual agricultural field, a set of historical annual crop production data records, said production data records including identification of the crop produced, crop growth rate data, harvested crop biomass yield data and/or harvested crop seed yield data, chemical fertilizer input data, pesticide input data, growth modulating product input data, and a set of current annual crop production data records;
obtaining and inputting into a fourth data processing module for each selected individual agricultural field, a set of historical annual data set of agronomy service providers and cost data records listing each agronomy service delivered prior to and during each crop production cycle, and a set of current annual data set of agronomy service providers and cost data records;
obtaining and inputting into a fifth data processing module for each selected individual agricultural field, a set of historical annual data records listing harvested crop inventory records, sales records, and revenue records, and a set of current annual data records listing harvested crop inventory records, sales records, and revenue records;
obtaining and inputting into a sixth data processing module, data records pertaining to overhead expenditures incurred during one or more historical crop production cycle(s);
performing a computer-implemented analysis of the set of historical annual data and the set of current annual data for each of the data processing modules and producing therefrom one or more analysis summaries for each of said data processing modules;
creating with a computer-implemented program an agronomic prescription for each of two or more selected crops being considered for a next crop production cycle on a first selected field and generate therefrom, harvested crop yield projection, a crop production cost projection, a and a return-on-investment revenue projection for each of the selected crops on the first selected field;
performing a computer-implemented risk analysis of the analysis summaries in reference to each of the crop production prescriptions for the first selected field;
repeating (i) the creation of an agronomic prescription, a harvested crop yield projection, a crop production cost projection, a return-on-investment revenue projection for each of two or more selected crops being considered for a next crop production cycle on a second selected field, and (ii) the computer-implemented risk analysis of the analysis summaries in reference to each of the agronomic prescriptions for the second selected field;
from an inputted selection of a selected crop for the first selected field and a selected crop for a second selected field, generating with a computer-implemented program a work order comprising one or more of a supply of seed, a supply of fertility products, a supply of pesticides, performance of agronomic services, performance of equipment maintenance services, and performance of overhead services;
electronically transmitting the work order to one or more selected suppliers and/or one or more selected service providers;
generating a series of alerts associated with the work order to enable tracking of delivery of the ordered products and/or services; and generating a series of current status reports for each of the data processing modules, said current status reports electronically accessible by the producer and by an authorized and authenticated supplier or a service provider.
US patent application (US20160308954A1) discloses a cloud-based system for integration of agricultural data with geolocation-based agricultural operations, comprising:
a data receiving module configured to receive agricultural-related data associated with a given geographic area;
a data processing module configured to transform the received data into an analysis-ready format;
an analysis module configured to process the received data having been transformed into the analysis-ready format through one or more algorithms to determine at least one operation to be performed within the given geographic area;
a prescription generation module defined to generate a set of instructions for execution of the at least one operation within the given geographic area as a function of geolocation, the instructions for execution of the at least one operation coded for direct use by a controller of a specified type of agricultural equipment; and
a communication module configured to transmit the instructions for execution of the at least one operation over a wireless communication channel to the controller of the specified type of agricultural equipment, wherein the instructions for execution of the at least one operation cause the controller to direct operation of the specified type of agricultural equipment to perform the at least one operation within the given geographic area as a function of geolocation in an automated manner.
There are disadvantages associated with the conventional farming process and system. One of the disadvantages is that no system is available in the prior art which facilitates farmers to select seeds for sowing in a plot of agricultural land and use of fertilizers as per the requirement of that crop, weather, Agro climatic zone, soil characteristics.
Another disadvantage associated with the conventional farming processes and systems is that unified integrated system is not available in the prior art.
Yet another disadvantage associated with the conventional farming processes and systems is that everything is done manually in the agriculture planning.
Still another disadvantage associated with the conventional farming processes and systems is that farmers are not aware about the demand and supply for the agricultural commodities and also it can’t be controlled.
A further disadvantage associated with the conventional farming processes and systems is that it is difficult for the Govt. to frame welfare policies as information about the prediction of the farming produce is not available in advance.
Another disadvantage associated with the conventional farming processes and systems is that it is difficult to assess real benefices.
Yet another disadvantage associated with the conventional farming processes and systems is that the farmer do not have any information about the local service providers.
Still another disadvantage associated with the conventional farming processes and systems is that it is difficult to plan the work in stacks.
Therefore, there is a need to invent a farming process and system which is capable to provide information, to the farmers, about the selection of seeds and fertilizers needed to grow specific crops in the agricultural fields as per the prevailing weather conditions and other geo-conditions in order to obtain maximum benefits out of it.
OBJECTS OF THE INVENTION
Therefore, an object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, which obviates the disadvantages associated with the methods and system known in the prior art.
Another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to store centralized record for all forms of agricultural data accessible to the farmers and Govt. authorities.
Yet another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to provide information on soil testing, soil type, seed selection & varieties, crop sowing time, seed, fertilizer advice, moisture / water requirement, weather forecast, harvesting and Government schemes, and predicted yield.
Still another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, having information about the Central / State Government Schemes and provides information about all the Govt. scheme on one platform so that farmers can avail advantage of the Govt. schemes.
A further object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to provided real time data, about the government scheme’s beneficiaries, to the Govt. authorities as and when required.
Another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, adapted to be connected with online Market Place applications to allow farmers to sell, store and transport their produce at a better price.
Yet another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to provide certification to classify farmer’s land as chemical, mixed or organic farming land.
Still another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to help framing policies for the agriculture.
A further object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to predict agri input material and output supply chain in advance.
Another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops, capable to reduce wastages of the agri commodities.
Another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops capable to provide two way platform for service providers, bank, insurance companies and farmer for convenient service and promotion of agriculture sector.
Yet another object of the present invention is to provide a digital system, to manage farmers, agriculture land and crops capable to provide the information to nearest service providers for the agriculture and other services available with the skill sets to reduce the cost of farming and promote self-employment opportunities at local level.
STATEMENT OF THE INVENTION
According to this invention, there is provided a digital system to manage agriculture land and crops comprising a main processing block (1) adapted to receive information from plurality of modules, for example, farmer profile module (2), farmer ID and farm ID generation module (3), satellite data module (4), agri-eco system module (5) and POS / ERP (point of sale / enterprise resource planning) module (6), the main processing block (1) connected with a server (7) provided to store the information received for the plurality of modules (2, 3, 4, 5 and 6), a software application module (9) being provided to facilitate communication between the server (7) and plurality of portals, for example, farmer portal (10), crop classification portal (11), E-mandi portal (12) and Govt. portal (13) such that to analyze stored information and provide desired results as requested by an user of the system.
Further, according to this invention, there is provided a process to manage farmers, agriculture land and crops comprising feeding personal and family details of farmer in the system and storing the same in a server, verifying / matching the details about the farmer, family and/or agricultural land, geo mapping, geo tagging, geo fencing each land piece / section with the help of satellite imaginary, analyzing the satellite imagery for soil characteristic, crop type, weather forecast, estimated yield etc., providing information about agri climate zone, soil type, crop sowing time, seed selection, area and season wise fertilizer, installing POS and/or the ERP software at the agri input providers centers to feed information about fertilizers, pesticides, insecticides used by the farmers, feeding the above mentioned information in the system with valid farmer ID, accessing all kind of information by the farmers, from crop cultivation to the sale of the produce and even about the Govt. welfare schemes, obtaining all the information about the E-mandi, warehouses, cold stores, and transporters by the farmers, accessing details about the scheme beneficiary by the Govt. officials and mapping the with the land details of the respective farmers, obtaining scheme wise and area wise information about the farmers and farm land by the Govt. officers.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
A digital system to manage agriculture land and crops, according to a preferred embodiment of the present invention, is herein described and illustrated in the accompanying drawings, wherein:
Figure 1 – illustrates block diagram of a digital system to manage agriculture land and crops,
Figure 2 – illustrates block diagram of farmer’s profile generation module,
Figure 3 – illustrates block diagram of Farmer’s ID and Farm ID generation module,
Figure 4 – illustrates block diagram of satellite data module,
Figure 5 – illustrates block diagram of agri eco system module,
Figure 6 – illustrates block diagram of farmer’s portal,
Figure 7 – illustrates block diagram of crop classification portal,
Figure 8 – illustrates block diagram of E-mandi portal,
Figure 9 – illustrates block diagram of Govt. portal,
Figure 10 – illustrates block diagram of the process of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
A digital system to manage agriculture land and crops, is herein described with numerous specific details so as to provide a complete understanding of the invention. However these specific details are exemplary details and should not be treated as the limitation to the scope of the invention. Throughout this specification the word “comprise” or variations such as “comprises or comprising”, will be understood to imply the inclusions of a stated element, integer or step, or group of elements, integers or steps, but not the exclusions of any other element, integer or step or group of elements, integers or steps.
Referring to the drawings, figure 1, a digital system to manage farmer, agriculture land and crops according an embodiment of this invention comprises an information providing / collection station, for example, a computer system and / or a mobile phone (1) so as to receive data / information from plurality of modules, for example, farmer profile (2), a farmer ID generation and farm ID generation module (3), satellite data module (4), agri-eco system (5) and POS / ERP (point of sale / enterprise resource planning) module (6). The computer system (1) is adapted to be connected with a server (7) through wireless communication means, for example, internet. The server (7) is provided on a cloud computing environment (8) such that to receive data / information from the above mentioned modules (2, 3, 4, 5 and 6) through the computer system (1) and store said data / information therein. A software application module (9) is provided to facilitate communication between the server (7) and different portals, for example, farmer portal (10), crop classification portal (11), e-mandi portal (12) and Govt. portal (13) such that to provide access to the data / information stored in the server (7), about the farmers, crops classification, mandi rates and Govt. schemas, as and when required by the users of the system.
Referring to figure 2, a block diagram of Farmer’s profile module is shown. The farmer / agent provide / enter information, for example, name, father’s name, age, complete address and even category as shown in blocks (21, 22, 23, 24 and 25), respectively, to the system with the help of a computer and / or mobile phone. Similarly, farmer / agent provided information, for example, name, age and relationship of all the family members of the said farmer, as shown in blocks (26, 27 and 28), respectively. The data information about the farmer and family of the farmer are stored in the server. The data / information so stored in the server (7) is validated in comparison / matching with the data / information available in the family register, voter id register, ration card register and / or population register as shown in the blocks (29, 30, 31 and 32), respectively, with the help of API (application program interface). The family register, voter id register, ration card register and population register are available in digital format, but if such data / information is not available in the digital format then it is accessed by the server (7), but if such data / information is maintained manually then it is first converted into digital format such that to facilitate access of the such data / information by the server (7). In this manner the farmer profile is generated. In one embodiment digital data is sent to the server (7) so that it is compared / matched easily in order to generate Farmer ID. In one embodiment and in case of registration of the farmers is done as extension workers, farmer producer organisation (FPO), Self Help Group (SHG) and Cooperative Society, then data / registration information are taken for each member in the association and the member is registered as per the farmer profile registration in the system.
Referring to figure 3, a block diagram of Farmer’s ID and Farm ID generation module is shown. Once the farmer profile is generated at the main processing block / information collection center (1), the system obtain the data / information about agricultural land, from the land revenue records, as shown in block (33) of the Govt. department servers, of all the farmers of the country with the help of an API (34) if it is in the digital format. Similar, the system (1) obtain data / information about the agricultural land from the Cadastral Map record, as shown in block (35) maintained by the Govt., again with the help of the API (36) if it is in the digital format. But if such data / information are maintained by the Govt. departments manually then such data / information is first converted into digital format such that to facilitate access of such data / information by the server (7) of the system through API (application program interface). When all above mentioned data / information are collected by the system then the software application (9) compares / matches the data / information of all the farmers, with the help of an software application, already available in the server (7) and allocate a Farmer ID to the respective farmers, as shown in block (38). The software application also generate Farm ID1 and Farm ID2, as shown in the blocks (39 and 40), based on the data / information, for example, GEO Mapping (41), GEO Tagging (42) and GEO Fencing (43), available in the server (7) of the system as shown.
Referring to figure 4, a block diagram of satellite data module is shown. The satellite data module comprises a satellite capable to send number of images of the land of an area and the same images are stored in the server (7) of the system. The software application (9) analyses the data / information and images received form the satellite (44) and provides information, for example, crop identification, yield estimation, soil testing, and weather forecast as shown in the blocks (45, 46, 47 and 48). The data received from the satellite (44) is further analysed and provide imagery (49) of each farm and farmer based on the Farm ID or Farmer ID.
Referring to figure 5, a block diagram of agri eco system module is shown. The agri eco system module is meant to provide data / information inputs (50) to the farmers relating to the seed, fertilizer, pesticide and farm machinery as shown in the block (51). The above mentioned details are taken through agri experts. The agri eco system module provide package of practices data (52) with complete information regarding agro climate zone, soil type, sowing time and harvesting time as shown in block (53). The details about the package of practice (PoP) is defined for the area by the experts. Similarly, agri eco system module provide crop health data (54) with complete information regarding PGP (Plant Growth Promoters), weed control, insecticide, soil health, irrigation plan and disease control as shown in block (55) based on the BI (Business Intelligence) tool and software application (9) of the system. The agri eco system module also provided storage and transportation data / information (56) with complete information regarding cold store, warehouse, transportation and packing as shown in block (57). Detail about the cold store, warehouse, transportation and packing are taken manually. Further, the agri eco system module provide agri marketing information (58) with complete data regarding mandi rates (bhav), MSP (minimum support price), raw processors and exporters as shown in block (59). All these information are entered manually and then converted to digital form. If these information are available in digital form at some place then such data is directly feed to the server (7) with the help API (application programme interface).
Referring to figure 6, a block diagram of farmer’s portal is shown. The farmer’s portal is meant to provide different kind of information regarding piece of agricultural land and management system to the respective farmers. The farmer who wants to know about the crop heath, mandi rates (bhav), Govt. schemas, etc., etc., login to the farmers portal by entering his name, address and mobile number and / or land details as shown in blocks (61, 62, 63 and 64). The software application (9) matches the data / information entered by the farmer and prefilled data about land record available with the server (7) along with the names of the respective farmers and confirms the Farmer ID (3a) and Farm 1D (3b). The farmer obtains complete information / details, through farmer’s portal, required to the farmer from sowing the crop till the harvesting of the crop. A Fertilizer Recommendation app (68) is provided to process the data about soil, weather, water requirement, etc. and recommend fertilizer to be used by the farmer for a particular crop. Thus the farmer gets the information about the soil testing, weather forecast, crop identification, fertilizer recommendation, crop health, yield estimation, package of practices, loan and KCC (kisan credit credit), Govt. benefit schemes, scheme eligibility, scheme benefits available, KVK and Call Centre linkage, nearest artisan and service providers, and imagery as shown in blocks (65, 66, 67, 68A, 68B, 68C, 69, 70, 71, 72, 73, 74 and 75).
In one embodiment, the nearest KVK (Kisan Vikas Kendra) center is linked with the system and in case if a farmers requires any assistance the same is connected with the nearest KVKs. The system is so designed that a call form an area is connected with the nearest available center. Also, the system provides a service platform for the landless farmers, artisan and service providers at the village level and in the nearby areas so that they can provide services at the nearest place of requirement. The farmers who have no land but have their name in the population register, family register, voter id data, ration card data, etc., the system provides them an option to fill their skill sets and enter their name with the skill sets. The farmer who is in need of a service provider opens the application and find the nearest available manpower related to the required skill sets. Thus the needy person gets the job and in this manner the system of the present invention help to strengthen the rural economy.
Referring to figure 7, a block diagram of crop classification portal is shown. The crop classification portal analyses the data / information supplied to the system (1) of the present patent application through different input suppliers (input suppliers 1 – 3) as shown in the blocks (71, 72, and 73) and / or through respective sources, for example, POS (point of sale) device, Brower’s Application and/or ERP (enterprise resource planning) module as shown in the blocks (74, 75 and 76), respectively. Similarly, input supplier 4 as shown in block (77) provide billing information to the system (1) through billing application (78) and API (79). The agri input provider e.g. fertilizers, pesticide, insecticides or any other info along with the farmer ID and entered into the system. In one embodiment POS or ERP are connected with the system (1) through API. The software application (9) analyses such data / information with respect to the prefilled data in the server (7) and provide output classification (80) with three classes of the crops, that is, organic crop, natural crop, and inorganic classes as shown in the blocks (81, 82 and 83). In case of an organic crop the system issues an organic product certification, too.
Referring to figure 8, a block diagram of E-mandi portal is shown. The system (1) of the present invention provide facility to the farmer to connect with the E-mandi module. For this purpose farmer login into the system by entering his mobile number, farm ID (81) and farmer ID (82) and access E-mandi portal. The E-mandi portal provide information about nearest mandi and rates (bhav) available in the mandi regarding farmer’s produce and also link the farmer directly with the customer, agri processors, mandi, traders, cold storage and warehouse people, transport facilitator. The E-mandi portal specifically provide information about auction price, fixed price and sales options, as shown in the respective blocks and the farmer can directly participate in the negotiation with buyer and gets opportunity to sell the goods at maximum price of his / her produce.
The E- mandi portal provide an opportunity to farmers to directly publish the available product into the app and the system has capability to automatically show the products and quantity available. The raw, semi processed, or the processed products are listed by the farmers or processors as the case may be. The registered traders / customers see the products listed in the application / system. Trader and farmer are connected with each other if the product are listed within 25KM range or any other range defined. The transaction i.e. the product listed beyond this limit are connected by paying the platform charges. In this scenario the buyer and seller have to pay transactions charges for the platform usage. There is no transaction charges for the farmers in the system. Transportation feature are inbuilt within the system. If both, the farmer and the trader, are connected with the application, then they see the available transportation, storage and processing facilities. The system from the farmer / trader to the product advertisement is live in the application. If the products listed are not removed by the farmers or traders within specified time limit the product is deemed as sold as the trader / customer clicks “I am Interested” tab available in the app. A national Level and State level CRM (customer relationship management) Portal is integrated in the application. Only local level trader, Cooperative, mandi and FPO is involved in the above 25 KM range or any other as specified in the system for trading from farmers. For the trader billing facility is available in the system. Farmer is given option for delivery or courier if service provided by the farmers. The consumer also directly communicate with the farmer available within 25 KM.
Referring to figure 9, a block diagram of Govt. portal is shown. The system (1) allow the Govt. department to access the invented system in order to get complete information about a farmer, land record and benefits received by him. Similarly, the farmer is allowed to access the Govt. departments to get information about available Govt. welfare schemes. All the data of Central Govt. and State Govt. schemes are uploaded into the server (7) using a computer or a mobile phone having the software application. If the data is available in manual from, then the same is converted into the digital form and then is uploaded into the server (7) of the system. For this purpose an advanced data processing tool / software application is provided to covert the data with the land parcel or farmer wise or any other key identification factor. The Govt. portal has dashboard according to the pre-defined role assigned e.g. village, block, tehsil, district, state, central or scheme specific. So the Government accesses the beneficiary’s data at single place. In addition to this there is provided an editing app to facilitate editing by the local Govt. officers in order to add information and / or remove information therefrom.
The entire system work on the inputs / information provided by the farmers and the input data / information obtained from the satellite data module (4), agri-eco system (5) and / or POS / ERP module (6). The inputs, data and information provided by the farmers and the inputs, data and information obtained from the satellite are provided / conveyed to the cloud server (7) having separate sections for each input data / information or combination of multiple or all input data / information. The software application module (9) analyses the data / information available in the server (7), as per the requirement / command given by the user with the help of different portals, for example, farmer portal, crop classification portal, E-mandi portal and / or Government portal and provide the required information to the user. The information / details provided by the system and/or obtained Govt. authorities are useful for framing Govt. policies, service entities, financial institutes, farmer related advisories, agri management and preparing registries at the Government level.
Referring to figure 10, process of the present invention is shown. According to the process of this invention in block 101 personal & family details of farmer are fed and/or stored into the server (7). In block 102, detail of the farmer and his family and/or agricultural land are verified / matched with the family register, voter id record, ration card, and population register. If these records are maintained manually then the same are digitalized and then uploaded into the server (7). In block 103, land details of the farmer is matched / verified with the digitized bhulekh data (land revenue record) and the cadastral map available with the Govt. departments. If the bhulekh data (land revenue record) is maintained manually then the same is digitalized and then uploaded into the server. In block 104, each land piece / section is subjected to Geo mapping, Geo tagging, Geo fencing and connected with digital land mapping with satellite imagery. In block 105, satellite imagery data is then analyzed for soil characteristic, crop type, weather forecast, estimated yield, etc., etc. In block 106, data about the agri climate zone, soil type, crop sowing time, seed selection, area and season wise fertilizer recommendation is fed / collected through the experts, available data sources, and research papers. In block 107, POS and the ERP software are installed at the agri input providers centers, i.e. at the centers, at which information about fertilizers, pesticides, insecticides, are provided. These inputs are provided with a valid farmer ID and these details are captured into the system. In block 108, a farmer access all kind of information needed, from crop cultivation to the sale of the produce and even about the Govt. welfare schemes. In block 109, a farmers gets all the information about the E-mandi, warehouses, cold stores, and transporters. In block 110, all the scheme beneficiary’s data for farmer is taken by the Govt. officials and the same is mapped with the land details of the respective farmers. In block 111, Govt. officer access, scheme wise and area wise dashboards to obtain required information. Based on the above data the algorithm defined the system can classify the crop into the organic, natural, and chemical. The POS and/or ERP data, soil nutrients, satellite crop health data and yield estimation versus actual yield are compared and the crop classification is validated.
Certain features of the invention have been described with reference to the example embodiments. However, the description is not intended to be construed in a limiting sense. Various modifications of the example embodiments as well as other embodiments of the invention, which are apparent to the persons skilled in the art to which the invention pertains, are deemed to lie within the spirit and scope of the invention.

Claims:

We claim:
1. Digital system to manage farmers, agriculture land and crops comprising a main processing block (1) adapted to receive information from plurality of modules, for example, farmer profile module (2), farmer ID and farm ID generation module (3), satellite data module (4), agri-eco system module (5) and POS / ERP (point of sale / enterprise resource planning) module (6), the main processing block (1) connected with a server (7) provided to store the information received for the plurality of modules (2, 3, 4, 5 and 6), a software application module (9) being provided to facilitate communication between the server (7) and plurality of portals, for example, farmer portal (10), crop classification portal (11), E-mandi portal (12) and Govt. portal (13) such that to analyze stored information and provide desired results as requested by an user of the system.
2. The digital system to manage farmers, agriculture land and crops as claimed in claim 1, wherein the server is provided on a cloud computing environment.
3. The digital system to manage farmers, agriculture land and crops as claimed in claim 1, wherein farmer profile module comprises a computer or a mobile phone to feed information about the farmer, father’s name, age, address and category and information about his/her relatives by the farmer or his/her agent, family register, voter id register, ration card register and / or population register, adapted to be connected with the main processing block through respective APIs (application program interface) such that to facilitate validation / matching of the information / data stored in the server (7) about the farmers.
4. The digital system to manage farmers, agriculture land and crops as claimed in claim 1, wherein farmer ID and farm ID generation module comprises land revenue records module and cadastral map record module, adapted to be connected with the main processing block through respective APIs, are provided to furnish information about the land details of the farmers and map details of the land, software application is provided to communicate with the main processing block such that to compare / match the info about the land of the respective farmers and generate farmer ID and farm ID of a farmer.
5. The digital system to manage farmers, agriculture land and crops as claimed in claim 1, wherein the satellite data module comprises a satellite capable to send number of images of the land of an area and the images are stored in the server of the system, the software application analyses the data / information and images received form the satellite and provides information, for example, crop identification, yield estimation, soil testing, and weather forecast.
6. A process to manage farmers, agriculture land and crops comprising feeding personal and family details of farmer in the system and storing the same in a server, verifying / matching the details about the farmer, family and/or agricultural land, geo mapping, geo tagging, geo fencing each land piece / section with the help of satellite imaginary, analyzing the satellite imagery for soil characteristic, crop type, weather forecast, estimated yield etc., providing information about agri climate zone, soil type, crop sowing time, seed selection, area and season wise fertilizer, installing POS and the ERP software at the agri input providers centers to feed information about fertilizers, pesticides, insecticides used by the farmers, feeding the above mentioned information in the system with valid farmer ID, accessing all kind of information by the farmers, from crop cultivation to the sale of the produce and even about the Govt. welfare schemes, obtaining all the information about the E-mandi, warehouses, cold stores, and transporters by the farmers, accessing details about the scheme beneficiary by the Govt. officials and mapping the with the land details of the respective farmers, obtaining scheme wise and area wise information about the farmers and farm land by the Govt. officers.
7. The process to manage farmers, agriculture land and crops as claimed in claim 6, wherein personal and family details of farmer are verified / matched with the family register, voter id record, ration card, and population register.
8. The process to manage farmers, agriculture land and crops as claimed in claim 6, wherein personal and family details of farmer are verified / matched with the bhulekh data (land revenue record) and the cadastral map available with the Govt. departments.
9. The process to manage farmers, agriculture land and crops as claimed in claim 6, wherein information about agri climate zone, soil type, crop sowing time, seed selection, area and season wise fertilizer are provided base on the recommendation of the experts, available data sources, and research papers.