DESC:DESCRIPTION:
Field of the invention:
[0001] The present disclosure generally relates to the technical field of agricultural cultivation, and in specific, relates to a system and method for sustainable rice transplantation using geospatial techniques and direct seeding techniques to streamline transplanting procedures, thereby reducing water consumption, maintaining water balance, and increasing overall efficiency.
Background of the invention:
[0002] Sustainable rice transplantation is a method of transplanting rice seedlings that minimises the environmental and social impacts of rice production. It is based on the principles of sustainable agriculture, which aim to produce food in a way that protects the environment, conserves natural resources, and benefits farmers and society. There are a number of different practices that can be used to achieve sustainable rice transplantation.

[0003] Some of the most common include younger seedlings, which are more resilient and establish themselves more quickly in the field. This can assist in reducing water usage and the need for pesticides. Transplanting a single seedling per hill provides each seedling more space to grow and develop, which can lead to higher yields and reduced lodging. Shallow transplanting helps to promote root growth and tillering. Organic fertilizers and pest management practices, which reduce the environmental impact of rice production and improve soil health. Ensuring fair labor practices and safe working conditions is important for the social sustainability of rice production.

[0004] Sustainable rice transplantation can offer a number of benefits, including reduced water usage, reduced pesticide usage, increased yields, reduced lodging, improved soil health, reduced environmental impact, and improved social sustainability. The Sustainable Rice Platform (SRP) is a multi-stakeholder platform that is working to promote sustainable rice production practices around the world. The SRP has developed a standard for sustainable rice cultivation, which includes number of requirements for sustainable rice transplantation.

[0005] A number of countries and organizations are collaborating to enhance sustainable rice transplantation. For example, the Indian government has developed a campaign to encourage the use of young seedlings and single-seedling transplantation. The International Rice Research Institute (IRRI) is also attempting to create and promote environmentally friendly rice transplantation procedures. Sustainable rice transplantation is a key step towards making rice production more sustainable. Farmers who use sustainable rice transplantation procedures can reduce their environmental impact, increase their yields, benefit their communities, reduce their environmental impact, and improve their yields.

[0006] Conventionally, rice transplanting involves raising seedlings in nurseries, manually pulling them, and transplanting them into prepared fields. This process is labor-intensive, requires significant water for nursery and field management, and damages the soil from uprooting seedlings. Direct seeding eliminates nurseries and transplants seed directly into prepared fields, potentially reducing labor, water usage, and environmental impact. However, conventional rice transplanting might not optimize seed selection, precise field preparation, or accurate water management strategies.

[0007] In existing technology, a water-saving conditioning method for dry farming involves direct-seeding rice by drip irrigation. The method is intended to confront the difficulties of poor soil oxygen content, low rice quality, low yield, and low irrigation quantity. The method provides a dry farming direct seeding rice water-saving conditioning drip irrigation system and a conditioning method for root zone water, fertilizer, and gas microbial habitat conditioning. The dry farming direct seeding rice seeding provides fertilizing, ditching, pipe laying, film mulching, and whole harvesting process mechanization. The method provides an automatic precise cooperative regulation of the water, fertilizer, and gas in the soil in the dry farming direct seeding rice root area. However, the method might not provide an ideal seed rate, and spacing depends on the type of rice grown and the fertility of the soil.

[0008] Therefore, there is a system and method for sustainable rice transplantation using geospatial techniques and direct seeding techniques to streamline transplanting procedures, thereby reducing water consumption, maintaining water balance, and increasing overall efficiency. There is also a need for a method that incorporates the seeding technique to reduce water consumption, labor costs, and the environmental impact associated with conventional transplanting methods. Further, there is also a need for a method that provides real-time decision support via remote sensing, satellite imagery, a global positioning system (GPS), and a geographic information system (GIS).
Objectives of the invention:
[0009] The primary objective of the invention is to provide system and method for sustainable rice transplantation using geospatial techniques and direct seeding techniques to streamline transplanting procedures, thereby reducing water consumption, maintaining water balance, and increasing overall efficiency.

[0010] Another objective of the invention is to provide a system that utilizes geospatial techniques to optimize resource allocation, including water, fertilizer, and pesticide usage, thereby resulting in improved resource efficiency and reduced wastage.

[0011] The other objective of the invention is to provide a system that precise seed distribution, crop monitoring, and targeted interventions offered by geospatial techniques, thereby enhancing crop productivity and yield potential.

[0012] The other objective of the invention is to provide a system that incorporates the directing seeding technique to reduce water consumption, labor costs, and environmental impact associated with conventional transplanting methods.

[0013] The other objective of the invention is to provide a system that provide real-time decision support via remote sensing, satellite imagery, global positioning system (GPS), and geographic information system (GIS).

[0014] Yet another objective of the invention is to provide a system that eliminates the need for labour-intensive seedling raising and transplanting, thereby reducing production costs.

[0015] Further objective of the invention is to provide a system that is suitable for both small scale and commercial rice farming operations.
Summary of the invention:
[0016] The present disclosure proposes a system for sustainable rice transplantation using geospatial techniques and method thereof. The following presents a simplified summary in order to provide a basic understanding of some aspects of the claimed subject matter. This summary is not an extensive overview. It is not intended to identify key/critical elements or to delineate the scope of the claimed subject matter. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

[0017] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide system and method for sustainable rice transplantation using geospatial techniques and direct seeding techniques to streamline transplanting procedures, thereby reducing water consumption, maintaining water balance, and increasing overall efficiency.

[0018] According to one aspect, the invention provides a system that comprises a computing device having a controller and a memory for storing one or more instructions executable by the controller. The computing device is in communication with a geo-stationery satellite via a network. The controller is configured to execute plurality of modules for performing multiple functions. The plurality of modules comprises a data collection module, a processing module, a determining module, a crop monitoring module, and a decision module.

[0019] In one embodiment, the data collection module is configured to collect geospatial data from the geo-stationery satellite to access the applicability of agricultural land. In one embodiment, the processing module is configured to analyze the received data from the geo-stationery satellite and evaluate acceptable regions, crop health, and growth patterns for direct seeding. In one embodiment, the network is configured to transmit the geo-stationery satellite data to the computing device in real time via a wireless communication.

[0020] In one embodiment, the determining module is configured to determine a precise date for sowing seeds into the agricultural land via plurality of agricultural apparatus based on the analysed data from satellite imagery and meteorological conditions of the agricultural land. In one embodiment, the plurality of agricultural apparatus includes a mechanical seeder, a seed hopper, a seed metering mechanism, and a seed discharge mechanism for planting seeds directly onto the agriculture land using the geo-stationery satellite.

[0021] In one embodiment, the crop monitoring module is configured to monitor crop parameters via the geo-stationery satellite and alert a user to harvest the rice crop within a predetermined time period. The crop parameters include crop health, growth, and yield. In another embodiment, the crop monitoring module is configured to detect pest outbreaks and diseases, assess nutrient efficiency of the planted seeds, and manage intermittent flooding for irrigation, thereby reducing environmental impact and promoting efficient water use in cultivation.

[0022] In one embodiment, the decision module is configured to provide real-time data on at least one crop parameter to the user, thereby enabling informed decisions to enhance rice transplantation productivity and sustainability. In one embodiment, the at least one parameter of the crop includes crop health, growth patterns, and field characteristics to allocate resources with accuracy and optimize the usage of pesticides, fertilizers, and water.

[0023] In one embodiment, the geo-stationery satellite is configured to produce the geospatial data that includes at least one of satellite imagery, remote sensing data, geographic information system (GIS), soil type, drainage pattern data, crop health data, and topographical data. In one embodiment, the geo-stationery satellite is configured to estimate agricultural parameters for each geographic location based on final yield data. The estimated agricultural parameters are determined by linearly mapping the values at neighbouring locations.

[0024] In one embodiment, the geo-stationery satellite includes SentineL-2, Landsat, and a moderate resolution imaging spectroradiometer (MODIS). In one embodiment, the sustainable rice transplantation system is configured to guide the user in farming all types of agricultural crops on the agriculture land through the geo-stationery satellite.

[0025] According to another aspect, the invention provides a method for performing the sustainable rice transplantation system. At one step, the data collection module collects the geospatial data from the geo-stationery satellite to access the applicability of the agricultural land. At another step, the processing module analyses the received data from the geo-stationery satellite and evaluates acceptable regions, crop health, and growth patterns for direct seeding. At another step, the determining module determines the precise date for sowing seeds into the agricultural land via plurality of agricultural apparatus based on the analysed data from satellite imagery and meteorological conditions of the agricultural land.

[0026] At another step, the crop monitoring module monitors the crop parameters via the geo-stationery satellite and alerts the user to harvest the rice crop within a predetermined time period. Further, at another step, the decision module provides the real-time data on at least one crop parameter to the user, thereby enabling informed decisions to enhance rice transplantation productivity and sustainability.

[0027] Further, objects and advantages of the present invention will be apparent from a study of the following portion of the specification, the claims, and the attached drawings.
Detailed description of drawings:
[0028] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate an embodiment of the invention, and, together with the description, explain the principles of the invention.

[0029] FIG. 1 illustrates an exemplary block diagram of a sustainable rice transplantation system, in accordance to an exemplary embodiment of the invention.

[0030] FIG. 2 illustrates a flowchart of a method for substantial rice farming through direct seeding and geospatial techniques, in accordance to an exemplary embodiment of the invention.

[0031] FIG. 3 illustrates a flowchart of a method for performing the sustainable rice transplantation system, in accordance to an exemplary embodiment of the invention.
Detailed invention disclosure:
[0032] Various embodiments of the present invention will be described in reference to the accompanying drawings. Wherever possible, same or similar reference numerals are used in the drawings and the description to refer to the same or like parts or steps.

[0033] The present disclosure has been made with a view towards solving the problem with the prior art described above, and it is an object of the present invention to provide system and method for sustainable rice transplantation using geospatial techniques and direct seeding techniques to streamline transplanting procedures, thereby reducing water consumption, maintaining water balance, and increasing overall efficiency.

[0034] According to an exemplary embodiment of the invention, FIG. 1 refers to an exemplary block diagram of the sustainable rice transplantation system 100. In one embodiment herein, the sustainable rice transplantation system 100 comprises a computing device 102 having a controller 104 and a memory 106 for storing one or more instructions executable by the controller 104. The computing device 102 is in communication with a geo-stationery satellite 120 via a network 118. The controller 104 is configured to execute plurality of modules 107 for performing multiple functions. In one embodiment herein, the network 118 is configured to transmit the geo-stationery satellite 120 to the computing device 102 in real time via a wireless communication.

[0035] In one embodiment herein, the geo-stationery satellite 120 is configured to produce data that includes at least one of satellite imagery, remote sensing data, geographic information system (GIS), soil type, drainage pattern data, crop health data, and topographical data. In another embodiment herein, the geo-stationery satellite 120 is configured to determine estimated values for the agricultural parameters at each geographic location based on the final yield. The estimated value for agriculture land is determined by linearly mapping the values at neighbouring locations. In one embodiment herein, the geo-stationery satellite 120 includes SentineL-2, Landsat, and a moderate resolution imaging spectroradiometer (MODIS).

[0036] In one embodiment herein, the system 100 is configured to guide a user in selecting appropriate agricultural crops for their land using the geo-stationery satellite 120. In one embodiment herein, the plurality of modules 107 comprises a data collection module 108, a processing module 110, a determining module 112, a crop monitoring module 114, and a decision module 116. In another embodiment herein, the computing device 102 is at least one of a smartphone, a computer, a laptop, a tablet, and a personal digital assistant (PDA).

[0037] In one embodiment herein, the controller 104 is configured to transmit the attained user inputs to the geo-stationery satellite 120 through the network 118. In one embodiment herein, the network 118 is group of interconnected nodes that exchange data and resources with each other. The network 118 includes a computing platform that enables real-time, on-site stream processing of sensor data from the at least one parameter of the agriculture land.

[0038] In one embodiment herein, the data collection module 108 is configured to collect geospatial data from the geo-stationery satellite 120 to access the applicability of an agricultural land. The controller 104 of the computing device 102 is configured to receive the data from the geo-stationery satellite 120 to analyse the received data and transmit to the further attained modules for usage.

[0039] In one embodiment herein, the processing module 110 is configured to received data from the geo-stationery satellite (120) and evaluate acceptable regions, crop health, and growth patterns based on the agriculture land for direct seeding. The geo-stationery satellite 120 is provided with the geographical information of the ground, thereby analysing the user inputs such as type of crops, and type of agriculture lands to assign the regional crop to the suitable agriculture land for farming.

[0040] In one embodiment herein, the determining module 112 is configured to determine a precise date for sowing seeds into the agricultural land via the plurality of agricultural apparatus 122 based on the analyzed data from satellite imagery and meteorological conditions of the agricultural land. In one embodiment herein, the plurality of agricultural apparatus 122 includes a mechanical seeder, a seed hopper, a seed metering mechanism, and a seed discharge mechanism for planting seeds directly onto the agriculture land using the geo-stationery satellite 120.

[0041] In one embodiment herein, the mechanical seeder is configured for planting and spreading fertiliser for wheat, rice, lucerne, rye, oats, peas, barley, soya, red clover, darnel, colza, mustard, maize, and other agriculture seeds. In one embodiment herein, the seed hopper is configured to secure the plurality of agriculture seeds within the mechanical seeder. In one example embodiment herein, the seed metering mechanism is positioned lower to the seed hopper and configured to collect the one or more agriculture seeds from the seed hopper and deliver them into a seed tube, which is configured to securely place the one or more agriculture seeds on the agriculture land. The seed discharge mechanism is configured to discharge the one or more agriculture seeds into the agriculture land.

[0042] In one embodiment herein, the crop monitoring module 114 is configured to monitor crop parameters via the geo-stationery satellite 120 and alert the user to harvest the rice crop at a predetermined time period. In particular, the crop parameters include crop health, growth and yield. In another embodiment herein, the crop monitoring module 114 is configured to identify outbreaks of the pest management or diseases and evaluate nutrient efficiency on the planted seeds, and further configured to provide water for cultivation of the agriculture land in an intermittent flooding cultivation, thereby reducing environmental effects, and promoting substantial water consumption.

[0043] In one embodiment herein, the decision module 116 is configured to provide real-time data on at least one parameter of the crop to the user, thereby enabling informed decisions to enhance rice transplantation productivity and sustainability. In one embodiment herein, the at least one parameter of the crop includes crop health, growth patterns, field characteristics to allocate resources with accuracy, optimise the usage of pesticides, fertilisers, and water.

[0044] According to another exemplary embodiment of the invention, FIG. 2 refers to a flowchart 200 of a method for substantial rice transplantation through direct seeding and geospatial techniques. In one example embodiment herein, the user provides inputs to the computing device 102 for performing the rice transplantation using the direct seeding and geospatial techniques. At step 202, the geo-stationery satellite 120 detects the parameters of the agriculture land for rice transplantation based on the user input via the computing device 102. The data collection module 108 collects the received data from the geo-stationery satellite 120 to determine the applicability of the agriculture land.

[0045] At step 204, the user manually removes weeds from the agriculture land in preparation for plantation or farming. At step 206, the processing module 110 analyses the data from the geo-stationery satellite 120 to evaluate acceptable regions, crop health, and growth patterns for direct seeding. Direct seed sowing is the earliest known method of rice establishment. The direct seed sowing is common until the nineteenth century, but puddled transplanting eventually superseded. The direct seeding techniques are characterised by land preparation, seedbed quality, sowing method, and seed environment.

[0046] At step 208, the user may choose the appropriate rice varieties for direct seeding on the agriculture land based on the analysed data from the geo-stationery satellite 120. At step 210, the data of the geo-stationery satellite 120 includes at least one of satellite imagery, remote sensing data, geographic information system (GIS), soil type, drainage pattern data, crop health data, growth patterns and topographical data. The remote sensing data is configured to monitor crop health, detect pest or disease outbreaks, and assess nutrient deficiencies. The existing information of the agriculture land is configured to determine whether or not to apply fertiliser.

[0047] At step 212, the geo-stationery satellite 120 predicts models to estimate agriculture yield potential, which may be utilised by the user to plan the direct seeding sowing through the determined appropriate seed rate, spacing, and depth for direct seeding. At step 214, the determining module 112 enables the plurality of agricultural apparatus 122 for sowing seeds into the agriculture land based on the analysed data of satellite imagery and meteorological conditions of the agriculture land. At step 216, the plurality of agricultural apparatus 122 includes a mechanical seeder, a seed hopper, a seed metering mechanism, and a seed discharge mechanism for planting seeds directly onto the agriculture land using the geo-stationery satellite 120.

[0048] At step 218, the user implements water management techniques based on the field condition and water availability. In one example embodiment herein, the water management technique is critical throughout all crop growth phases, including seedling emergence, active tillering, panicle initiation, and blooming. Proper water management might be treated during the crop establishment period (the first 7-15 days after sowing), is critical in dry drill-sown rice to prevent seed rotting, and maintain the soil moist but not saturated between sowing and emergence.

[0049] After seeding in dry soil, flush irrigation is required to moisten the soil if rain is improbable, followed by soaking the field at the three-leaf stage. This water management technique promotes effective root and seedling establishment while also enhancing weed germination. Therefore, early weed management with an efficient pre-emergence herbicide will be able to prevent weed emergence and growth. The embodiment may also include methods, thereby allowing for alternative water management methods like intermittent flooding or aerobic cultivation, lowering water use, reducing environmental impact, and promoting.

[0050] At step 220, the crop monitoring module 114 monitors the crop health, growth, and yield via the geo-stationery satellite 120. Further at step 222, harvests the rice crop at a predetermined time period, thereby enabling the user to execute appropriate decisions for increasing rice transplantation productivity and sustainability.

[0051] According to another exemplary embodiment of the invention, FIG. 3 refers to a flowchart 300 of a method for performing the sustainable rice transplantation system 100. At step 302, the data collection module 108 collects the geospatial data from the geo-stationery satellite 120 to access the applicability of the agricultural land. At step 304, the processing module 110 analyze the received data from the geo-stationery satellite 120 and evaluate acceptable regions, crop health, and growth patterns for direct seeding.

[0052] At step 306, the determining module 112 determines the precise date for sowing seeds into the agricultural land via plurality of agricultural apparatus 122 based on the analyzed data from satellite imagery and meteorological conditions of the agricultural land. At step 308, the crop monitoring module 114 monitors the crop parameters via the geo-stationery satellite 120 and alert the user to harvest the rice crop within a predetermined time period. Further, at step 310, the decision module 116 provides the real-time data on at least one crop parameter to the user, thereby enabling informed decisions to enhance rice transplantation productivity and sustainability.

[0053] Numerous advantages of the present disclosure may be apparent from the discussion above. In accordance with the present disclosure, the system 100 includes the geospatial techniques to optimize resource allocation, including water, fertilizer and pesticide usage, resulting in improved resource efficiency and reduced wastage. The proposed system 100 incorporates the directing seeding technique to reduce water consumption, labour costs, and environmental impact associated with conventional transplanting methods.

[0054] The proposed system 100 provide real-time decision support via a remote sensing, satellite imagery, global positioning system (GPS), and geographic information system (GIS). The proposed system 100 eliminates the need for labor-intensive seedling raising and transplanting, reducing production costs. The proposed system 100 is suitable for both small scale and commercial rice farming operations. The proposed system 100 incorporates the directing seeding technique to reduce water consumption, labor costs, and environmental impact associated with conventional transplanting methods.

[0055] It will readily be apparent that numerous modifications and alterations can be made to the processes described in the foregoing examples without departing from the principles underlying the invention, and all such modifications and alterations are intended to be embraced by this application.
,CLAIMS:CLAIMS:
I / We Claim:
1. A sustainable rice transplantation system (100), comprising:
a computing device (102) having a controller (104) and a memory (106) for storing one or more instructions executable by the controller (104), wherein the computing device (102) is in communication with a geo-stationery satellite (120) via a network (118), wherein the controller (104) is configured to execute plurality of modules (107) for performing multiple functions, wherein the plurality of modules (107) comprises:
a data collection module (108) configured to collect geospatial data from the geo-stationery satellite (120) to access the applicability of an agricultural land;
a processing module (110) configured to analyze the received data from the geo-stationery satellite (120) and evaluate acceptable regions, crop health, and growth patterns for direct seeding;
a determining module (112) configured to determine a precise date for sowing seeds into the agricultural land via plurality of agricultural apparatus (122) based on the analyzed data from satellite imagery and meteorological conditions of the agricultural land;
a crop monitoring module (114) configured to monitor crop parameters via the geo-stationery satellite (120) and alert a user to harvest the rice crop within a predetermined time period, wherein the crop parameters include crop health, growth and yield; and
a decision module (116) configured to provide real-time data on at least one crop parameter to the user, thereby enabling informed decisions to enhance rice transplantation productivity and sustainability.
2. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the geo-stationery satellite (120) is configured to produce the geospatial data that includes at least one of satellite imagery, remote sensing data, geographic information system (GIS), soil type, drainage pattern data, crop health data, and topographical data.
3. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the geo-stationery satellite (120) is configured to estimate agricultural parameters for each geographic location based on final yield data, wherein the estimated agricultural parameters are determined by linearly mapping the values at neighbouring locations.
4. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the plurality of agricultural apparatus (122) includes a mechanical seeder, a seed hopper, a seed metering mechanism, and a seed discharge mechanism for planting seeds directly onto the agriculture land using the geo-stationery satellite (120).
5. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the crop monitoring module (114) is configured to detect pest outbreaks and diseases, assess nutrient efficiency of the planted seeds, and manage intermittent flooding for irrigation, thereby reducing environmental impact and promotes efficient water use in cultivation.
6. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the network (118) is configured to transmit the geo-stationery satellite (120) data to the computing device (102) in real time via a wireless communication.
7. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the geo-stationery satellite (120) includes SentineL-2, Landsat, and a moderate resolution imaging spectroradiometer (MODIS).
8. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the at least one parameter of the crop includes crop health, growth patterns, field characteristics to allocate resources with accuracy, optimize the usage of pesticides, fertilisers, and water.
9. The sustainable rice transplantation system (100) as claimed in claim 1, wherein the sustainable rice transplantation system (100) is configured to guide the user in farming all types of agricultural crops on the agriculture land through the geo-stationery satellite (120).
10. A method for performing a sustainable rice transplantation system (100), comprising:
collecting, by a data collection module (108), geospatial data from a geo-stationery satellite (120) to access the applicability of an agricultural land;
analyzing, by a processing module (110), the received data from the geo-stationery satellite (120) and evaluate acceptable regions, crop health, and growth patterns for direct seeding;
determining, by a determining module (112), a precise date for sowing seeds into the agricultural land via plurality of agricultural apparatus (122) based on the analyzed data from satellite imagery and meteorological conditions of the agricultural land;
monitoring, by a crop monitoring module (114), crop parameters via the geo-stationery satellite (120) and alert a user to harvest the rice crop within a predetermined time period; and
providing, by a decision module (116), real-time data on at least one crop parameter to the user, thereby enabling informed decisions to enhance rice transplantation productivity and sustainability.