Description:IOT BASED METHOD AND SYSTEM FOR AUTONOMOUSLY MANAGING AGRICULTURAL EQUIPMENTS
TECHNICAL FIELD
[0001] The present disclosure relates to autonomous agricultural management and particularly it relates to Internet of Things (IoT) based method and system for autonomously managing agricultural equipments.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The agricultural industry is a labor based industry in which there are a lot of uncertainties regarding crop farming and weather. Several parameters have to be taken into account such as climatic conditions, temperature conditions, terrain, topography, soil condition, irrigation requirements, pests and diseases, fertilizers etc. Traditionally farming community rely on know-how or word of mouth handed from one generation to another generation of farmers.
[0004] Recently precision agriculture is employed for making agriculture more manageable. Precision agriculture (PA) is a farming management concept based on observing, measuring and responding to inter- and intra-field variability in crops. PA is also sometimes referred to as precision farming, satellite agriculture, as-needed farming and site-specific crop management (SSCM). Resources like water, fertilizer and pesticides can be better managed using precision agriculture to provide the highest crop yield possible. It may result in less overall costs, less environmental damage and better quality of produce. Precision agriculture utilizes sensor, network and computer technology to achieve better agricultural yield using minimal resources.
[0005] Efforts have been made in the past to achieve better agricultural yield using precision agriculture to manage agricultural resources such as farmlands. U.S. Patent No. 9292796A1, discloses a harvest advisory modeling system using field-level analysis of weather conditions, observations and user input of harvest condition states, wherein a predicted harvest condition includes an estimation of standing crop dry-down rates, and an estimation of fuel costs. However, the prior arts face limitations as they fail to provide a comprehensive system which extends beyond advisory modeling and prediction of harvest condition.
[0006] Hence, there is a need for a comprehensive system of agricultural management which takes in account overall farming conditions and input to autonomously manage on-field farming.
[0007] Therefore, the present disclosure overcomes the above-mentioned problem associated with the traditionally available method or system. The present disclosure provides an IoT based method and system for autonomously managing agricultural equipments. The present disclosure is an integrated technology solution available to increase overall crop yield.
[0008] Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.

OBJECTS OF THE INVENTION
[0009] It is an object of the present disclosure to provide IoT based method and system for autonomously managing agricultural equipments.
[0010] It is an object of the present disclosure to provide a comprehensive agricultural resource management with accurate real-time and future operational control of agricultural devices.

SUMMARY
[0011] The present disclosure relates to an automatic method for management of agricultural equipment. The method comprises steps of receiving, at one or more receiver device, a plurality of information from a plurality of input sources; transmitting, using one or more transmitters, the received plurality of information to a cloud server; processing, at the cloud server, the received plurality of information, wherein the input plurality of information is processed to determine a plurality of set of instructions; and transmitting, from the cloud server to one or more end device, the plurality of set of instructions.
[0012] In an aspect of the present disclosure, an automatic system for management of agricultural equipment is disclosed. The system comprising of one or more receiver device configured to receive a plurality of information from a plurality of input sources; a cloud server configured to receive the plurality of information from the one or more receiver device, wherein the cloud server processes the input plurality of information to determine a plurality of set of instructions; and one or more end device configured to receive the plurality of set of instructions.
[0013] The plurality of information includes type 1 information, type 2 information and type 3 information and wherein type 1 information is received from first type of input source, type 2 information is received from second type of input source and type 3 information is received from third type of input source. The plurality of set of instructions includes real time instructions and future instructions. The one or more end device includes type 1 end devices and type 2 end devices and wherein the type 1 end devices includes on-field devices and the type 2 end devices include personal computing devices. The cloud server further includes a first component to classify and store type 1 information, a second component to classify and store type 2 information, and a third component to classify and store type 3 information.
[0014] One should appreciate that although the present disclosure has been explained with respect to a defined set of functional modules, any other module or set of modules can be added/deleted/modified/combined, and any such changes in architecture/construction of the proposed system are completely within the scope of the present disclosure. Each module can also be fragmented into one or more functional sub-modules, all of which also completely within the scope of the present disclosure.
[0015] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF THE DRAWING
[0016] The accompanying drawing is included to provide a further understanding of the present disclosure and are incorporated in and constitute a part of this specification. The drawing illustrates exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0017] FIG. 1 illustrates a block diagram of an automatic system (100) for management of agricultural equipment in accordance with embodiments of the present disclosure.

DETAILED DESCRITION
[0018] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details. As the detailed description is concerned various stages are included in embodiments of the present invention, which will be detailed below. If the specification states a component or feature "may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0019] Aspects of the present disclosure relate to IoT based method and system for autonomously managing agricultural equipments.
[0020] It is inferred that the foregoing description is only illustrative of the present invention, and it is not intended that invention be limited or restrictive thereto. Many other specific embodiments of the present invention will be apparent to one skilled in the art from the foregoing disclosure. All substitutions, alterations and modifications of the present invention which comes within the scope of the following claims are to which the present invention is readily susceptible without departing from the spirit of the invention. The scope of the invention should therefore be determined not with reference to appended claims along with the full scope of equivalents to which such claims are entitled.
[0021] Thus, for example, it will be appreciated by those of ordinary skill in the art that the diagram, schematic, illustration, and the like represent conceptual views or processes illustrating systems and method embodying this invention. Those of ordinary skill in the art further understand that the exemplary processes, method, and/or components described herein are for illustrative purposes and, thus, are not intended to be limited to any particular named.
[0022] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawing. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0023] Various terms as used herein are shown below. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0024] In an embodiment of the present disclosure, an automatic method and system (100) for management of agricultural equipment is disclosed. Figure 1 illustrates an automatic system (100) for management of agricultural equipment. The automatic system (100) comprises of one or more receiver device (101) configured to receive a plurality of information from a plurality of input sources; a cloud server (102) configured to receive the plurality of information from the one or more receiver device (101), wherein the cloud server (102) processes the input plurality of information to determine a plurality of set of instructions; and one or more end device (103) configured to receive the plurality of set of instructions.
[0025] A plurality of information from a plurality of input sources is received at one or more receiver device (101). The received plurality of information is transmitted to the cloud server (102) using one or more transmitters. The received plurality of information is processed by the cloud server (102) to determine a plurality of set of instructions. The plurality of set of instructions are transmitted using the cloud server (102) to one or more end device (103). The receiver device (101) can be a computing device. The transmission of information can be though internet, network communication, any wired or wireless communication.
[0026] In an embodiment of the invention, the plurality of information includes type 1 information, type 2 information and type 3 information and wherein type 1 information is received from first type of input source, type 2 information is received from second type of input source and type 3 information is received from third type of input source.
[0027] The first type of input source includes sources from sampling from the farmland. The samples from the farmland are tested by the on-field testing devices. The first type of input source includes but is not limited to soil sample, samples of atleast 2 previous grown crops, groundwater sample. The second type of input source includes on-farm and regional agro-meteorological sources. The second type of input source includes but is not limited to a plurality of sensors located on-field, topographic map of location of interest, regional images, weather station data, satellite data, GPS, regional agricultural databases. The plurality of sensors includes but is not limited to temperature and humidity sensor, soil moisture sensor, soil pH sensor, water sensor, light intensity sensor, air sensor, and software sensor. The third type of input source includes forecast sources. The third type of input source includes but is not limited to weather channels, news, radio, podcasts, websites, social network. The internet based and social media sources are verified for authenticity and reliability. Only sources with high rated reviews are considered to eliminate dubious information.
[0028] In an embodiment of the invention, the cloud server (102) processes the plurality of information to determine a plurality of set of instructions. The instructions are determined based on a plurality of on-field variables including crop type, weather conditions, topography, fertilizer application, water resource availability, farm implement type, and crop safety. These variables are estimated from the received information from the multiple sources. A comprehensive analysis taking the variables is done which is further calibrated at pre-set time intervals to extrapolate real-time analysis. The comprehensive analysis and real-time analysis include analysis of required optimum soil pH, optimum soil moisture, seed requirements, suitable crop, optimum irrigation, optimum fertilizer, farming implement required, optimum crop yield.
[0029] In an embodiment of the invention, the plurality of set of instructions determined by the cloud server (102) includes real time instructions and future instructions. The comprehensive analysis and real-time analysis give information of optimum farming conditions in a farm. This analysis generates set of instructions for maximizing agricultural yield and efficient utilization of resources. The set of instructions include real time instructions and future instructions for optimization of resources. The set of instructions are transmitted to one or more end device (103).
[0030] In an embodiment of the invention, the cloud server (102) processes the plurality of information by machine learning techniques including regression, classification, decision trees, dimensionality reduction, support vector machine learning, neural network or deep machine learning.
[0031] In an embodiment of the invention, the one or more end device (103) includes type 1 end devices and type 2 end devices. The type 1 end devices includes on-field devices and the type 2 end devices include personal computing devices of farmers.
[0032] The type 1 end devices are on-field devices or equipments capable of operational control by the cloud server (102) through internet or wireless technologies. Examples of the type 1 end devices include but not limited to seeders, planters, sprayers, tillers, irrigation devices, soil drillers, soil mixers, crop harvesters, temperature and humidity controllers, intrusion detectors, fertilizer and pesticide spreaders. The type 1 end devices receive the set of instructions and operate as per instructions to optimize various inputs of agriculture. For instance, the irrigation device would water the field as per the instruction which is based on the optimum water requirement of the field.
[0033] The type 2 end devices are personal computing devices of farmers including mobile, computers, PDAs etc. These devices can provide several means of output including SMS, text, images, videos, e-mail, web application, mobile application, interactive channels and interactive chat. The type 2 end devices provide real-time analysis report and future instructions for farmers. The farmer can implement these instructions for productive and systematic agricultural resource utilization.
[0034] In an embodiment of the invention, the cloud server (102) further includes a first component (104) to classify and store type 1 information, a second component (105) to classify and store type 2 information, and a third component (106) to classify and store type 3 information. The information is classified in the cloud server (102) and stored for future use. The information can be retrieved from the first component (104), the second component (105), and the third component (106) for generating any other future instructions.
[0035] Advantages of the IoT based method and system for autonomously managing agricultural equipments -
• IoT based autonomous management of agricultural equipments without manual intervention.
• Comprehensive agricultural resource management with accurate real-time and future operational control of agricultural devices.
• Minimizing the cost of materials and resources, like water, seeds, fuel, etc.
• Lowering agriculture's dependence on weather conditions.
• Maximum realization of the genetic potential of the produced crops.
[0036] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
[0037] Thus, the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.

, Claims:I/We Claim:
1. An automatic method for management of agricultural equipment, wherein the method comprises steps of:
receiving, at one or more receiver device (101), a plurality of information from a plurality of input sources;
transmitting, using one or more transmitters, the received plurality of information to a cloud server (102);
processing, at the cloud server (102), the received plurality of information, wherein the input plurality of information is processed to determine a plurality of set of instructions; and
transmitting, from the cloud server (102) to one or more end device (103), the plurality of set of instructions.
2. The automatic method for management of agricultural equipment according to claim 1, wherein the plurality of information includes type 1 information, type 2 information and type 3 information and wherein type 1 information is received from first type of input source, type 2 information is received from second type of input source and type 3 information is received from third type of input source.
3. The automatic method for management of agricultural equipment according to claim 1, wherein the plurality of set of instructions includes real time instructions and future instructions.
4. The automatic method for management of agricultural equipment according to claim 1, wherein the one or more end device (103) includes type 1 end devices and type 2 end devices and wherein the type 1 end devices includes on-field devices and the type 2 end devices include personal computing devices.
5. The automatic method for management of agricultural equipment according to claim 2, wherein the cloud server (102) further includes a first component (104) to classify and store type 1 information, a second component (105) to classify and store type 2 information, and a third component (106) to classify and store type 3 information.
6. An automatic system (100) for management of agricultural equipment, wherein the system (100) comprising of:
one or more receiver device (101) configured to receive a plurality of information from a plurality of input sources;
a cloud server (102) configured to receive the plurality of information from the one or more receiver device (101), wherein the cloud server (102) processes the input plurality of information to determine a plurality of set of instructions; and
one or more end device (103) configured to receive the plurality of set of instructions.
7. The automatic system (100) for management of agricultural equipment according to claim 6, wherein the plurality of information includes type 1 information, type 2 information and type 3 information and wherein type 1 information is received from first type of input source, type 2 information is received from second type of input source and type 3 information is received from third type of input source.
8. The automatic system (100) for management of agricultural equipment according to claim 6, wherein the plurality of set of instructions includes real time instructions and future instructions.
9. The automatic system (100) for management of agricultural equipment according to claim 6, wherein the one or more end device (103) includes type 1 end devices and type 2 end devices and wherein the type 1 end devices includes on-field devices and the type 2 end devices include personal computing devices.
10. The automatic system (100) for management of agricultural equipment according to claim 7, wherein the cloud server (102) further includes a first component (104) to classify and store type 1 information, a second component (105) to classify and store type 2 information, and a third component (106) to classify and store type 3 information.