WO2018060818A1 - Method and system for enabling application of agricultural technology for an agriculture cycle - Google Patents

Method and system for enabling application of agricultural technology for an agriculture cycle Download PDF

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Publication number
WO2018060818A1
WO2018060818A1 PCT/IB2017/055750 IB2017055750W WO2018060818A1 WO 2018060818 A1 WO2018060818 A1 WO 2018060818A1 IB 2017055750 W IB2017055750 W IB 2017055750W WO 2018060818 A1 WO2018060818 A1 WO 2018060818A1
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WIPO (PCT)
Prior art keywords
crop
expert system
input
user device
agriculture
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PCT/IB2017/055750
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French (fr)
Inventor
B.G. Subhash
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Livecrop Solutions Private Limited
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Publication of WO2018060818A1 publication Critical patent/WO2018060818A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Definitions

  • the present disclosure relates to the field of communication and technology in general and more particularly relates to methods and systems for enabling the application of agriculture technology.
  • farm and “farming” in this document may also refer to other land based and plant based activities such as floriculture, arboriculture, plantations of perennial plant based products such as rubber, spices, areca, coconuts, for example
  • Farming is the practice of agriculture by labor, with or without the help of machinery, in an area primarily devoted to agricultural processes.
  • subsistence farming is practiced to satisfy family or local needs alone and intensive farming is practiced for commercial purposes, that is, for selling the agricultural produce or the products and byproducts thereof.
  • intensive farming is practiced for commercial purposes, that is, for selling the agricultural produce or the products and byproducts thereof.
  • the farmer's typical objective is to increase yield, maximize the crop quality and hence maximize the returns.
  • a given plot of land does not normally produce the output that is theoretically possible.
  • the reason for this is the lack of scientific crop knowledge of the farmer doing the farming, discounting variables such as weather, global warming, availability of water, pest attacks, understanding or absorbing the best required or available crop knowledge, and such variables.
  • the factors may include insect and other pest attacks, nutrient imbalances, diseases, improper maintenance or protection, and such factors
  • a method for management of the application of agriculture technology during an agriculture cycle comprises the steps of; (a) triggering an event by an expert system wherein the event comprises at least one of a recommendation and a questionnaire pertaining to at least one of a plot and a crop, (b) receiving an input pertaining to the plot and the crop by the expert system from the user device the input being the input entered on to the user device by a user of the user device, (c) analysing the input by the expert system and (d) repeating the steps (a), (b) and (c) at predefined times wherein the times are the times predefined based on agriculture technology.
  • Figure 1 illustrates an example representation of a system for enabling the application of agriculture technology during an agriculture cycle
  • Figure 2 is a block diagram of an example expert system in accordance with an embodiment of the present disclosure
  • Figure 3 is a flowchart illustrating a method of application of agriculture technology during an agriculture cycle in accordance with an embodiment of the present disclosure
  • Figure 4 is an example user interface displaying an example recommendation provided to a user during an agriculture cycle in accordance with an embodiment of the present disclosure.
  • the present disclosure relates to a method and system for enabling the application of agriculture technology during an agriculture cycle wherein the term technology as described herein refers to scientific knowledge on enhancing the crop growth and productivity.
  • the system for enabling the application of agriculture technology comprises an expert system that receives, analyses and processes various types of data from various sources and generates one or more events that may be provided to a user engaged in agricultural activities during an agriculture cycle.
  • the agriculture cycle as described herein refers to the cycle of agricultural activities related to seed planting or dibbling or sowing or seedling transplantation or sett planting, growth, pre -harvest activities, harvest and post-harvest stages of a crop wherein such activities may include crop selection, soil preparation, sowing, fertilizing, irrigation, harvesting, treatment, inter crop planting, crop rotation, post-harvest soil preparation, and such activities. Also, in the case of perennial plants such as coconut, mango, areca, cocoa, coffee, tea, rubber, and other such plants, whose yield is harvested periodically, the plants having been planted once, the above said agricultural activities are also applicable, as appropriate.
  • the live crop cycle as described herein refers to a cycle of activities related to the growth and harvest of a crop wherein such activities may include crop selection, soil preparation, sowing, fertilizing, irrigation and harvesting and such activities.
  • a live crop cycle of rice crop may start with seed or crop selection and ends with harvesting.
  • the agriculture cycle further includes post-harvest activities such as, but not limited to, treatment, post-harvest soil preparation, crop rotation, and other such activities In the case of perennial crops however, almost all the activities mentioned above are applicable without the whole plant being harvested.
  • FIG. 1 illustrates an exemplary representation of a system for enabling the application of agriculture technology during an agriculture cycle.
  • the system 100 comprises a plurality of user devices for example, a user device 105-1, and a user device 105-2 (hereafter collectively referred as user device 105), communications network 110 and an expert system 115 wherein the expert system 115 and the user device 105 are communicatively coupled through the communication network 110.
  • the system 100 further comprises one or more human experts 120 communicatively associated with the expert system 115 through one or more workstations. It is also possible that the human experts are communicatively associated with the expert system 115 through devices technologically similar to the user devices 105.
  • the term communicatively associated with means that the human experts can and may interact with the rest of the system through the devices.
  • the user device 105 may include one of a smartphone, a laptop, a notebook computer, a personal data assistant (PDA) and the like capable of connecting to the internet and having other communication capabilities.
  • the user device 105 may communicate with the expert system 115 through the communication network 110 in one or more ways such as wired, wireless connections or a combination thereof. It will be appreciated by those skilled in the art that the user device 105 includes one or more functional elements capable of communicating through the communication network 110 to receive one or more services offered by the expert system 115.
  • the user device 105 comprises a user application which enables a user to register with the system 100 by providing necessary registration credentials.
  • the registration credentials may include user name, contact details, plot and crop information and the like.
  • the user may input information pertaining to his/her plot or crop at any time during the agriculture cycle.
  • the user application periodically alerts the farmer that a predetermined stage of the crop has been reached and it needs monitoring and intervention, if necessary.
  • the communication network 110 may be a wireless network or a wired network or a combination thereof.
  • Wireless network may include long range wireless radio, wireless personal area network (WPAN), wireless local area network (WLAN), mobile data communication such as 3G, 4G or any other similar technologies.
  • the communication network 110 may be implemented as one of the different types of networks, such as intranet, local area network (LAN), wide area network (WAN), the internet, and the like.
  • the communication network 110 may either be a dedicated network or a shared network.
  • the shared network represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like.
  • HTTP Hypertext Transfer Protocol
  • TCP/IP Transmission Control Protocol/Internet Protocol
  • WAP Wireless Application Protocol
  • the communication network 110 may include a variety of network devices, including routers, bridges, servers, modems, computing devices, storage devices, and the like.
  • the communication network 110 is the internet which enables communication between the one or more user devices 105 and the expert system 115.
  • the expert system 115 may include, for example, a computer server or a network of computers or a virtual server which provides functionalities or services for other programs or devices such as for the user device 105.
  • the expert system 115 is a server comprising one or more processors, associated processing modules, interfaces and storage devices communicatively interconnected to one another through one or more communication means for communicating information.
  • the storage devices within the expert system 115 may include volatile and non-volatile memory devices for storing information and instructions to be executed by the one or more processors and for storing temporary variables or other intermediate information during processing.
  • FIG. 2 is a block diagram of an example expert system 115 in accordance with an embodiment of the present disclosure.
  • the expert system 115 comprises a data collection module 205, a data analysis module 210, an event generation module 215, an event triggering module 220, a communication module 230 and a database 235.
  • the database 235 may be an external database connected over the communication network 110.
  • the database 235 stores user data 240, event data 245, trigger and alert data 250 and agriculture technology 255.
  • the data collection module 205 collects the user data 245 and records the collected data in the database 235 wherein the user data 245 may include username, user ID, plot details such as location, climate or weather data or both, soil data, crop data, past crop data, user questions and feedback and the like.
  • the data collection module 205 collects the said user data during the user registration and creates a user profile for each individual user of the system 100.
  • user data 240 includes an input pertaining to the plot and the crop, the input being the input entered on to the user device 105, by a user of the user device 105.
  • the data collection module 205 is configured to receive inputs pertaining to the crop and the plot anytime during the agriculture cycle wherein the input pertaining to the crop and the farm may include information regarding the crop growth during various stages of the agriculture cycle, activities performed during the agriculture cycle, fertilizing and irrigation information, pests and disease information, if any.
  • the agriculture technology 255 comprises scientific knowledge on enhancing the crop growth and productivity.
  • the agriculture technology 255 comprises scientific knowledge on enhancing growth and productivity of various commercial and non-commercial crops such as but not limited to cotton, jute, sugarcane, tobacco, oilseeds, tea, coffee, rubber, rice, wheat, maize, fruits and vegetables, and other such crops.
  • the scientific knowledge on enhancing the crop growth and productivity may include, but not limited to, seed or sett specification and selection information, soil requirement and soil preparation, planting information such as when and how to plant, preferred agronomic and other crop production practices such as irrigation, fertilization and quality management information, management of pests, diseases and weeds, adapting cropping activities to a changing climate, and other such practices.
  • the scientific knowledge may include best harvesting methods, information collected from the experienced farmers and experts, crop history and information related to post-harvest activities such as treatment, post-harvest soil preparation, and other such information.
  • the data analysis module 210 is configured to process the user data 240 based on the agriculture technology 255 in order to identify effective techniques for improving the production of agricultural products or crop.
  • the data analysis module 210 processes the user data 240 and user inputs, identifies at least one of a recommendation and a question pertaining to the plot and the crop in order to improve the crop growth and productivity.
  • the data analysis module 210 processes the user data 240 and identifies at least one of the recommendation based on the user data 240 comprising the user input and agriculture technology, that is, the agriculture technology 255.
  • the analysis module 210 may identify one or more recommendations on various agricultural activities such as preparation of soil, sowing, seeding, adding manure and fertilizers, irrigation, harvesting and storage, and other such activities.
  • the recommendations may comprise one or more recommendations of method, quantity, timing and duration of one or more of soil preparation, sowing, seeding, fertilization, irrigation, rotation of crops, harvesting.
  • such recommendations are identified based on the user data 240 such as plot details, user input and the agriculture technology 255.
  • the expert system 115 communicates the user data 240 to the one or more human experts 120 through the communication module 230 enabling the one or more human experts 120 to identify the one or more recommendations on various agricultural activities.
  • the event generation module 215 generates one or more events wherein the one or more events comprise at least one of a recommendation and a questionnaire. Based on the processing and identification by the data analysis module 210, the event generation module 215 formulates one or more events wherein the one or more events comprise at least one of a recommendation and time at which the at least one of the recommendation needs to be triggered. In one embodiment of the present disclosure, the event generation module 215 may optionally generate the questionnaire wherein the questionnaire comprises one or more qualitative or quantitative questions pertaining to the farm, the crop and so on. Such one or more events are recorded as event data 245 in the database 235. For example, an event may comprise a recommendation on planting a combination for crops A and B.
  • the recommendations may include “Prepare the plot - ensure water is used efficiently”, “Put seeds into seedbeds for germination”, “transplant to the wet puddled plot”, “apply fertilizers”, and so on.
  • the event triggering module 220 triggers the one or more events from the event data 245 at pre-defined times in order to convey the at least one of the recommendation and the questionnaire to the user device 105 during the agriculture cycle. Further, the triggered events are recorded as triggers and alerts data 250 in the database 235. The manner in which the system operates for the application of agriculture technology during agriculture cycle is described in detail further below.
  • FIG. 3 is a flowchart illustrating a method of enabling the application of agriculture technology during an agriculture cycle in accordance with an embodiment of the present disclosure.
  • the expert system 115 receives information pertaining to crop and plot from the user device 105 wherein the crop and the plot information may include plot specification, location information, soil data, crop data, past crop data, climate data, and other such information.
  • the registered user may input such information using the user application installed on the user device 105. For example, a farmer engaged in cultivating rice may send plot specification and soil data to the expert system 115.
  • the expert system 115 generates events wherein the events comprise one or more recommendations and questionnaires.
  • the expert system 115 On receiving the crop and the plot information, the expert system 115 generates the events by identifying the one or more recommendations and questionnaires for enhancing the crop growth and productivity.
  • the one or more recommendations and questionnaires are identified by the expert system 115 by analysing the crop and plot information and the agriculture technology 255.
  • the expert system 115 may identify one or more recommendations on various agricultural activities such as preparation of soil, sowing, seeding, adding manures and fertilizers, irrigation, harvesting and storage, and other such activities.
  • the one or more recommendations and questionnaires are generated by the one or more human experts connected with the expert system 115.
  • the expert system 115 may generate a first event comprising a first recommendation on selecting a particular seed.
  • Further events may include one or more recommendations on plot preparation, planting, transplanting, growing, harvesting, grain storing and crop rotation.
  • a questionnaire may comprise one or more questions pertaining to plot preparation, planting, transplanting, growing, harvesting, grain storing, and crop rotation and so on. Such events are recorded as event data 245 in the database 235.
  • the expert system 115 triggers the events.
  • the expert system 115 triggers one or more events during the agriculture cycle in order to convey the one or more recommendations and questionnaires to the user device 105.
  • the user application installed in the user device 105 periodically alerts or recommends the farmer that a predetermined stage of the crop has been reached and it needs monitoring and intervention, if so recommended by the expert system 115.
  • the one or more events are triggered at a pre-defined time based on the agriculture technology.
  • the "planting” event comprising recommendations on "how to plant” is triggered after a pre-defined time, for example, 15 days.
  • a pre-defined time for example, 15 days.
  • transplantation is needed between 15 to 45 days, generally, depending on the environment and the seed variety.
  • a "transplant” event comprising recommendations on "how to transplant” is triggered after a pre-defined time based on the agriculture technology.
  • the expert system 115 may trigger one or more events during the agriculture cycle based on the user input, plot information, crop growth, agriculture technology data base, and the like. For example, ripening or maturity phase of the rice crop starts at flowering and ends when the grain is mature and ready to be harvested and the phase usually takes 30 days. However, rainy days or low temperatures may lengthen the ripening or maturity phase, while sunny and warm days may shorten the same. Hence, in one embodiment of the present disclosure, the expert system 115 may monitor or gather information on such variations using location information and trigger one or more events during the agriculture cycle.
  • the expert system 115 triggers the event comprising a questionnaire wherein questionnaire may include one or more questions pertaining to the recommendations, the growth of the crop, plot and soil conditions, and so on. For example, 20 days after planting rice seeds the expert system 115 may trigger an event comprising a question regarding sprouting or the growth of the seedling.
  • the expert system 115 receives input information pertaining to the crop and the farm.
  • the input information pertaining to the crop and the plot may include one of a crop growth information, information and feedback in response to the one or more recommendation and questionnaires, the farm, the recommendations, and the like.
  • the farmer may input such information using the user application installed in the user device 105. For example, on receiving a recommendation on "planting", the farmer may send a feedback comprising how many plants have been planted per square meter.
  • Such feedback is analysed by the expert system 115 and the steps 310, 315 and 320 are repeated during the agriculture cycle.
  • the expert system 115 may analyse the information in order to recommend fertilizers for the crop. Accordingly, a new event is generated and the steps 310, 315 and 320 are repeated during the agriculture cycle.
  • Figure 4 is an example user interface displaying an exemplary recommendation provided to a user during an agriculture cycle in accordance with an embodiment of the present disclosure.
  • the recommendation may comprise general information 405 such as plot ID, crop type, date, event, and so on., and a recommendation 410 comprising one or more recommendations to the farmer.
  • the exemplary recommendation includes a notification that the rice plant needs transplantation and advice on how to transplant for better crop growth and productivity.
  • the farmer may accept or reject the recommendations using the accept 415 and reject 420 options respectively.
  • the method and system for enabling the application of agriculture technology during an agriculture cycle is described referring to rice, the method and system may be implemented for various types commercial and non-commercial crops such as but not limited to cotton, jute, sugarcane, tobacco, oilseeds, tea, coffee, rubber, rice, wheat, maize, fruits and vegetables, flowers, and other such crops., or a combination thereof. As mentioned earlier, the method is also applicable to perennial plants.
  • the system and the method may be integrated with or functionally connected with or operationally associated with external e- commerce platforms, data collection applications, data processing and analytics applications, service providers such as payment gateways, crop and insurance companies, government or non-government agencies for using the production and such data for any desired functions, including enabling the farmers to sell agricultural products.
  • service providers such as payment gateways, crop and insurance companies, government or non-government agencies for using the production and such data for any desired functions, including enabling the farmers to sell agricultural products.
  • the necessary data security and privacy measures may be integrated as required.
  • the system and method disclosed in the present disclosure may be implemented by farmer dependent industries such as sugar mills, coffee boards or companies, tea companies, rice mills, chocolate manufacturing companies, processed food companies, exporters of flowers, fruits, vegetables, nuts, spices and other agricultural and horticultural products, companies manufacturing essential oil extracts, etc.
  • farmers affiliated to them and the production or output of these industries depends on the output of the affiliated farmers. It is in their interest to maximise the productivity and output of the farms and farmers affiliated to it.
  • the disclosed method and system enable them to achieve that by enabling them to predict the crop output and enhance the productivity by proactively providing agriculture technologies to the affiliated farmers, and monitoring for mutual benefit.

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Abstract

A method for enabling the application of agriculture technology during an agriculture cycle is disclosed wherein the method comprises the steps of; (a) triggering an event by an expert system wherein the event comprises at least one of a recommendation and a questionnaire pertaining to at least one of a plot and a crop, (b) receiving an input pertaining to the plot and the crop by the expert system from the user device wherein the input being the input entered on to the user device by a user of the user device, (c) analyzing the input by the expert system and (d) repeating the steps (a), (b), and (c) at predefined times, the times being predefined based on the crop agriculture technology.

Description

METHOD AND SYSTEM FOR ENABLING APPLICATION OF AGRICULTURAL TECHNOLOGY FOR AN AGRICULTURE CYCLE
The following specification particularly describes the invention and the manner in which it is to be performed.
FIELD OF THE INVENTION:
The present disclosure relates to the field of communication and technology in general and more particularly relates to methods and systems for enabling the application of agriculture technology. BACKGROUND TO THE INVENTION:
[0001] The history of agriculture dates back thousands of years and the development has been driven by different climates, cultures and technologies. Generally, agriculture is referred to as the production, processing, promotion and distribution of agricultural products which may be broadly classified into foods, fibers, fuels and raw materials. Agriculture is the backbone of the economic system of a many countries and plays a critical role in its entire economy. In addition to providing food, agriculture is a source of livelihood for many. Agricultural products like sugar, tea, rice, spices, tobacco, coffee, for example, constitute the major items of exports of countries that rely on agriculture. Growth of the agricultural sector contributes to marketable surpluses and is the main source of raw materials for major industries such as cotton and jute fabrics, sugar, tobacco products, edible as well as non-edible oils. Such a nation's export trade depends largely on the agricultural sector. However, the terms "farm" and "farming" in this document may also refer to other land based and plant based activities such as floriculture, arboriculture, plantations of perennial plant based products such as rubber, spices, areca, coconuts, for example
[0002] Farming is the practice of agriculture by labor, with or without the help of machinery, in an area primarily devoted to agricultural processes. Among different types of farming, subsistence farming is practiced to satisfy family or local needs alone and intensive farming is practiced for commercial purposes, that is, for selling the agricultural produce or the products and byproducts thereof. Irrespective of the different types of crops and methodologies of farming, the farmer's typical objective is to increase yield, maximize the crop quality and hence maximize the returns. Typically, a given plot of land does not normally produce the output that is theoretically possible. The reason for this is the lack of scientific crop knowledge of the farmer doing the farming, discounting variables such as weather, global warming, availability of water, pest attacks, understanding or absorbing the best required or available crop knowledge, and such variables. For example, as the crop grows and matures, it is subject to a variety of factors that may negatively impact the crop outcomes wherein the factors may include insect and other pest attacks, nutrient imbalances, diseases, improper maintenance or protection, and such factors
[0003] Hence, in order to increase the yield and maximize the return, it is essential to have prior knowledge and planning on various agricultural activities such as preparation of soil, sowing, seeding, adding manure or fertilizers, irrigation, insecticide spraying, weeding - either manually or using weedicides, harvesting, drying, de-husking, storage, and such activities Further, one or more of the said activities needs to be carried out in a timely manner in order to minimize the negative impact of events and conditions on the crop and the crop quality and yield or to maximize the crop quality and yield. Moreover, any live agricultural crop, between planting and harvesting, needs periodic monitoring and intervention to ensure its growth, health, crop output and in turn the earnings of the farmer. In the case of perennial plants, the same kind of intervention is necessary throughout its life. Conventionally, farmers get advice or knowledge through one to one interactions, articles and guidelines in the newspapers, television and radio programs or through the direct interaction with agriculture experts. However, such methods suffer from the fact that the expert who has the knowledge may not be available at site to administer crop knowledge and recommend the right course of actions throughout the live agriculture cycle.
[0004] With the development of communication and technology over the last decade, many government organizations and companies have rushed into mobile based advisory platforms for providing expert advice to the farmers. However, such platforms are intended to solve farmers' problems based on questions sent by the farmers. More advanced conventional platforms or systems use various sensors such as soil sensors, weather parameter sensors, and camera phones to get time and location specific information and use them to answer the questions received from a user terminal and provide a personalized expert advice on the same devices through a remote server.
SUMMARY OF THE INVENTION:
[0005] With reference to the background of the invention stated above the conventional systems, methods or platforms fail to provide recommendations based on the assessment of the state of the crop by an expert in the field of agriculture technology. Further, even though such recommendations are made, they are dependent on the farmers' ability or knowledge to recognize the various stages needing assessment and seeking the recommendations of the experts. Further, the number of such experts is limited and they cannot advise all the farmers even in a given geographical area. Hence, there is also a need for a method and system that prompts the farmer to provide information about the state of the crop at appropriate times of the agriculture cycle that may be required based on agriculture technology.
[0006] Hence, there is a need for a method and a system for enabling the application of agriculture technology during an agriculture cycle in order to provide recommendations based on the assessment of the state of the crop by an expert in the field of agriculture technology.
[0007] This summary is provided to introduce a selection of concepts in a simple manner that is further described in the detailed description of the invention. This summary is not intended to identify key or essential inventive concepts of the subject matter, nor is it intended to determine the scope of the invention.
[0008] A method for management of the application of agriculture technology during an agriculture cycle is disclosed wherein the method comprises the steps of; (a) triggering an event by an expert system wherein the event comprises at least one of a recommendation and a questionnaire pertaining to at least one of a plot and a crop, (b) receiving an input pertaining to the plot and the crop by the expert system from the user device the input being the input entered on to the user device by a user of the user device, (c) analysing the input by the expert system and (d) repeating the steps (a), (b) and (c) at predefined times wherein the times are the times predefined based on agriculture technology.
[0009] To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying figures.
BRIEF DESCRIPTION OF THE FIGURES:
[0010] The invention will be described and explained with additional specificity and detail with the accompanying figures in which:
[0011] Figure 1 illustrates an example representation of a system for enabling the application of agriculture technology during an agriculture cycle;
[0012] Figure 2 is a block diagram of an example expert system in accordance with an embodiment of the present disclosure; [0013] Figure 3 is a flowchart illustrating a method of application of agriculture technology during an agriculture cycle in accordance with an embodiment of the present disclosure;
[0014] Figure 4 is an example user interface displaying an example recommendation provided to a user during an agriculture cycle in accordance with an embodiment of the present disclosure.
[0015] Further, skilled artisans will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the figures with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.
DESCRIPTION OF THE INVENTION:
[0016] For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiments illustrated in the figures and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.
[0017] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof.
[0018] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises... a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.
[0020] The present disclosure relates to a method and system for enabling the application of agriculture technology during an agriculture cycle wherein the term technology as described herein refers to scientific knowledge on enhancing the crop growth and productivity. In one embodiment of the present disclosure, the system for enabling the application of agriculture technology comprises an expert system that receives, analyses and processes various types of data from various sources and generates one or more events that may be provided to a user engaged in agricultural activities during an agriculture cycle.
[0021] The agriculture cycle as described herein refers to the cycle of agricultural activities related to seed planting or dibbling or sowing or seedling transplantation or sett planting, growth, pre -harvest activities, harvest and post-harvest stages of a crop wherein such activities may include crop selection, soil preparation, sowing, fertilizing, irrigation, harvesting, treatment, inter crop planting, crop rotation, post-harvest soil preparation, and such activities. Also, in the case of perennial plants such as coconut, mango, areca, cocoa, coffee, tea, rubber, and other such plants, whose yield is harvested periodically, the plants having been planted once, the above said agricultural activities are also applicable, as appropriate.
[0022] The live crop cycle as described herein refers to a cycle of activities related to the growth and harvest of a crop wherein such activities may include crop selection, soil preparation, sowing, fertilizing, irrigation and harvesting and such activities. For example, a live crop cycle of rice crop may start with seed or crop selection and ends with harvesting. However, the agriculture cycle further includes post-harvest activities such as, but not limited to, treatment, post-harvest soil preparation, crop rotation, and other such activities In the case of perennial crops however, almost all the activities mentioned above are applicable without the whole plant being harvested.
[0023] Figure 1 illustrates an exemplary representation of a system for enabling the application of agriculture technology during an agriculture cycle. As shown, the system 100 comprises a plurality of user devices for example, a user device 105-1, and a user device 105-2 (hereafter collectively referred as user device 105), communications network 110 and an expert system 115 wherein the expert system 115 and the user device 105 are communicatively coupled through the communication network 110. In one embodiment of the present disclosure, the system 100 further comprises one or more human experts 120 communicatively associated with the expert system 115 through one or more workstations. It is also possible that the human experts are communicatively associated with the expert system 115 through devices technologically similar to the user devices 105. Herein, the term communicatively associated with means that the human experts can and may interact with the rest of the system through the devices.
[0024] The user device 105 may include one of a smartphone, a laptop, a notebook computer, a personal data assistant (PDA) and the like capable of connecting to the internet and having other communication capabilities. The user device 105 may communicate with the expert system 115 through the communication network 110 in one or more ways such as wired, wireless connections or a combination thereof. It will be appreciated by those skilled in the art that the user device 105 includes one or more functional elements capable of communicating through the communication network 110 to receive one or more services offered by the expert system 115.
[0025] In one embodiment of the present disclosure, the user device 105 comprises a user application which enables a user to register with the system 100 by providing necessary registration credentials. The registration credentials may include user name, contact details, plot and crop information and the like. On successful registration, the user may input information pertaining to his/her plot or crop at any time during the agriculture cycle. In one embodiment of the present disclosure, the user application periodically alerts the farmer that a predetermined stage of the crop has been reached and it needs monitoring and intervention, if necessary.
[0026] In one implementation, the communication network 110 may be a wireless network or a wired network or a combination thereof. Wireless network may include long range wireless radio, wireless personal area network (WPAN), wireless local area network (WLAN), mobile data communication such as 3G, 4G or any other similar technologies. The communication network 110 may be implemented as one of the different types of networks, such as intranet, local area network (LAN), wide area network (WAN), the internet, and the like. The communication network 110 may either be a dedicated network or a shared network. The shared network represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like. Further the communication network 110 may include a variety of network devices, including routers, bridges, servers, modems, computing devices, storage devices, and the like. In one implementation, the communication network 110 is the internet which enables communication between the one or more user devices 105 and the expert system 115.
[0027] The expert system 115 may include, for example, a computer server or a network of computers or a virtual server which provides functionalities or services for other programs or devices such as for the user device 105. In one implementation, the expert system 115 is a server comprising one or more processors, associated processing modules, interfaces and storage devices communicatively interconnected to one another through one or more communication means for communicating information. The storage devices within the expert system 115 may include volatile and non-volatile memory devices for storing information and instructions to be executed by the one or more processors and for storing temporary variables or other intermediate information during processing.
[0028] Figure 2 is a block diagram of an example expert system 115 in accordance with an embodiment of the present disclosure. As shown, the expert system 115 comprises a data collection module 205, a data analysis module 210, an event generation module 215, an event triggering module 220, a communication module 230 and a database 235. In some implementations, the database 235 may be an external database connected over the communication network 110.
[0029] The database 235 stores user data 240, event data 245, trigger and alert data 250 and agriculture technology 255. In one embodiment of the present disclosure, the data collection module 205 collects the user data 245 and records the collected data in the database 235 wherein the user data 245 may include username, user ID, plot details such as location, climate or weather data or both, soil data, crop data, past crop data, user questions and feedback and the like. In other words, the data collection module 205 collects the said user data during the user registration and creates a user profile for each individual user of the system 100. In one embodiment of the present disclosure, user data 240 includes an input pertaining to the plot and the crop, the input being the input entered on to the user device 105, by a user of the user device 105. Hence, the data collection module 205 is configured to receive inputs pertaining to the crop and the plot anytime during the agriculture cycle wherein the input pertaining to the crop and the farm may include information regarding the crop growth during various stages of the agriculture cycle, activities performed during the agriculture cycle, fertilizing and irrigation information, pests and disease information, if any.
[0030] The agriculture technology 255 comprises scientific knowledge on enhancing the crop growth and productivity. In one embodiment of the present disclosure, the agriculture technology 255 comprises scientific knowledge on enhancing growth and productivity of various commercial and non-commercial crops such as but not limited to cotton, jute, sugarcane, tobacco, oilseeds, tea, coffee, rubber, rice, wheat, maize, fruits and vegetables, and other such crops. Considering sugarcane as an example crop, the scientific knowledge on enhancing the crop growth and productivity may include, but not limited to, seed or sett specification and selection information, soil requirement and soil preparation, planting information such as when and how to plant, preferred agronomic and other crop production practices such as irrigation, fertilization and quality management information, management of pests, diseases and weeds, adapting cropping activities to a changing climate, and other such practices. Further, the scientific knowledge may include best harvesting methods, information collected from the experienced farmers and experts, crop history and information related to post-harvest activities such as treatment, post-harvest soil preparation, and other such information.
[0031] In one embodiment of the present disclosure, the data analysis module 210 is configured to process the user data 240 based on the agriculture technology 255 in order to identify effective techniques for improving the production of agricultural products or crop. In other words, the data analysis module 210 processes the user data 240 and user inputs, identifies at least one of a recommendation and a question pertaining to the plot and the crop in order to improve the crop growth and productivity. In one embodiment of the present disclosure, the data analysis module 210 processes the user data 240 and identifies at least one of the recommendation based on the user data 240 comprising the user input and agriculture technology, that is, the agriculture technology 255. For example, the analysis module 210 may identify one or more recommendations on various agricultural activities such as preparation of soil, sowing, seeding, adding manure and fertilizers, irrigation, harvesting and storage, and other such activities. Accordingly, the recommendations may comprise one or more recommendations of method, quantity, timing and duration of one or more of soil preparation, sowing, seeding, fertilization, irrigation, rotation of crops, harvesting. As described, such recommendations are identified based on the user data 240 such as plot details, user input and the agriculture technology 255. [0032] In some implementations, the expert system 115 communicates the user data 240 to the one or more human experts 120 through the communication module 230 enabling the one or more human experts 120 to identify the one or more recommendations on various agricultural activities.
[0033] The event generation module 215 generates one or more events wherein the one or more events comprise at least one of a recommendation and a questionnaire. Based on the processing and identification by the data analysis module 210, the event generation module 215 formulates one or more events wherein the one or more events comprise at least one of a recommendation and time at which the at least one of the recommendation needs to be triggered. In one embodiment of the present disclosure, the event generation module 215 may optionally generate the questionnaire wherein the questionnaire comprises one or more qualitative or quantitative questions pertaining to the farm, the crop and so on. Such one or more events are recorded as event data 245 in the database 235. For example, an event may comprise a recommendation on planting a combination for crops A and B. In another example, considering rice agriculture cycle, the recommendations may include "Prepare the plot - ensure water is used efficiently", "Put seeds into seedbeds for germination", "transplant to the wet puddled plot", "apply fertilizers", and so on.
[0034] The event triggering module 220 triggers the one or more events from the event data 245 at pre-defined times in order to convey the at least one of the recommendation and the questionnaire to the user device 105 during the agriculture cycle. Further, the triggered events are recorded as triggers and alerts data 250 in the database 235. The manner in which the system operates for the application of agriculture technology during agriculture cycle is described in detail further below.
[0035] Figure 3 is a flowchart illustrating a method of enabling the application of agriculture technology during an agriculture cycle in accordance with an embodiment of the present disclosure. At step 305, the expert system 115 receives information pertaining to crop and plot from the user device 105 wherein the crop and the plot information may include plot specification, location information, soil data, crop data, past crop data, climate data, and other such information. In one embodiment of the present disclosure, the registered user may input such information using the user application installed on the user device 105. For example, a farmer engaged in cultivating rice may send plot specification and soil data to the expert system 115.
[0036] At step 310, the expert system 115 generates events wherein the events comprise one or more recommendations and questionnaires. On receiving the crop and the plot information, the expert system 115 generates the events by identifying the one or more recommendations and questionnaires for enhancing the crop growth and productivity. In one embodiment of the present disclosure, the one or more recommendations and questionnaires are identified by the expert system 115 by analysing the crop and plot information and the agriculture technology 255. For example, the expert system 115 may identify one or more recommendations on various agricultural activities such as preparation of soil, sowing, seeding, adding manures and fertilizers, irrigation, harvesting and storage, and other such activities. In another embodiment of the present disclosure, the one or more recommendations and questionnaires are generated by the one or more human experts connected with the expert system 115. For example, on receiving plot specification, soil data and rice as a crop of interest, the expert system 115 may generate a first event comprising a first recommendation on selecting a particular seed. Further events may include one or more recommendations on plot preparation, planting, transplanting, growing, harvesting, grain storing and crop rotation. On the other hand, a questionnaire may comprise one or more questions pertaining to plot preparation, planting, transplanting, growing, harvesting, grain storing, and crop rotation and so on. Such events are recorded as event data 245 in the database 235.
[0037] At step 315 the expert system 115 triggers the events. In one embodiment of the present disclosure, the expert system 115 triggers one or more events during the agriculture cycle in order to convey the one or more recommendations and questionnaires to the user device 105. Hence, the user application installed in the user device 105 periodically alerts or recommends the farmer that a predetermined stage of the crop has been reached and it needs monitoring and intervention, if so recommended by the expert system 115. The one or more events are triggered at a pre-defined time based on the agriculture technology.
[0038] For example, upon triggering a "plot preparation" event, the "planting" event comprising recommendations on "how to plant" is triggered after a pre-defined time, for example, 15 days. In another example, after planting rice seeds, transplantation is needed between 15 to 45 days, generally, depending on the environment and the seed variety. Hence, a "transplant" event comprising recommendations on "how to transplant" is triggered after a pre-defined time based on the agriculture technology.
[0039] In another embodiment of the present disclosure, the expert system 115 may trigger one or more events during the agriculture cycle based on the user input, plot information, crop growth, agriculture technology data base, and the like. For example, ripening or maturity phase of the rice crop starts at flowering and ends when the grain is mature and ready to be harvested and the phase usually takes 30 days. However, rainy days or low temperatures may lengthen the ripening or maturity phase, while sunny and warm days may shorten the same. Hence, in one embodiment of the present disclosure, the expert system 115 may monitor or gather information on such variations using location information and trigger one or more events during the agriculture cycle.
[0040] In one embodiment of the present disclosure, the expert system 115 triggers the event comprising a questionnaire wherein questionnaire may include one or more questions pertaining to the recommendations, the growth of the crop, plot and soil conditions, and so on. For example, 20 days after planting rice seeds the expert system 115 may trigger an event comprising a question regarding sprouting or the growth of the seedling.
[0041] At step 320, the expert system 115 receives input information pertaining to the crop and the farm. The input information pertaining to the crop and the plot may include one of a crop growth information, information and feedback in response to the one or more recommendation and questionnaires, the farm, the recommendations, and the like. The farmer may input such information using the user application installed in the user device 105. For example, on receiving a recommendation on "planting", the farmer may send a feedback comprising how many plants have been planted per square meter. Such feedback is analysed by the expert system 115 and the steps 310, 315 and 320 are repeated during the agriculture cycle. For example, on receiving the feedback, the expert system 115 may analyse the information in order to recommend fertilizers for the crop. Accordingly, a new event is generated and the steps 310, 315 and 320 are repeated during the agriculture cycle.
[0042] Figure 4 is an example user interface displaying an exemplary recommendation provided to a user during an agriculture cycle in accordance with an embodiment of the present disclosure. As shown, the recommendation may comprise general information 405 such as plot ID, crop type, date, event, and so on., and a recommendation 410 comprising one or more recommendations to the farmer. The exemplary recommendation includes a notification that the rice plant needs transplantation and advice on how to transplant for better crop growth and productivity. On receiving such recommendations, the farmer may accept or reject the recommendations using the accept 415 and reject 420 options respectively.
[0043] Even though the method and system for enabling the application of agriculture technology during an agriculture cycle is described referring to rice, the method and system may be implemented for various types commercial and non-commercial crops such as but not limited to cotton, jute, sugarcane, tobacco, oilseeds, tea, coffee, rubber, rice, wheat, maize, fruits and vegetables, flowers, and other such crops., or a combination thereof. As mentioned earlier, the method is also applicable to perennial plants.
[0044] In one embodiment of the present disclosure, the system and the method may be integrated with or functionally connected with or operationally associated with external e- commerce platforms, data collection applications, data processing and analytics applications, service providers such as payment gateways, crop and insurance companies, government or non-government agencies for using the production and such data for any desired functions, including enabling the farmers to sell agricultural products. The necessary data security and privacy measures may be integrated as required.
[0045] In some implementations, the system and method disclosed in the present disclosure may be implemented by farmer dependent industries such as sugar mills, coffee boards or companies, tea companies, rice mills, chocolate manufacturing companies, processed food companies, exporters of flowers, fruits, vegetables, nuts, spices and other agricultural and horticultural products, companies manufacturing essential oil extracts, etc. Many such industries have farmers affiliated to them and the production or output of these industries depends on the output of the affiliated farmers. It is in their interest to maximise the productivity and output of the farms and farmers affiliated to it. The disclosed method and system enable them to achieve that by enabling them to predict the crop output and enhance the productivity by proactively providing agriculture technologies to the affiliated farmers, and monitoring for mutual benefit.
[0046] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
[0047] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts necessarily need to be performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples. Numerous variations, whether explicitly given in the specification or not, such as differences in structure, dimension, and use of material, are possible. The scope of embodiments is at least as broad as given by the following claims.

Claims

Claims:
1. A method for enabling the application of agriculture technology for a crop on a plot, the method comprising the steps of:
a. triggering an event by an expert system wherein the event comprises at least one of a questionnaire and a recommendation pertaining to at least one of a plot and a crop, for conveying to a user device, by means of an electronic communication means;
b. receiving by the expert system, an input pertaining to the at least one of the plot and the crop, from the user device, the input being the input entered on to the user device, by a user of the user device;
c. analysing the input by the expert system; and
d. repeating the steps (a), (b), and (c) at predefined times, the times being predefined by the expert system based on agriculture technology.
2. The method as claimed in claim 1 , wherein the application of agriculture technology is for the duration of a live crop cycle.
3. The method as claimed in claim 1, wherein the expert system comprises an expert system or an expert system and one or more human experts.
4. The method as claimed in claim 1, wherein the triggering the event by the expert system comprises:
formulating, based on the agriculture technology, at least one of the recommendation and the questionnaire pertaining to the at least one of the plot and the crop; and
conveying the at least one of the recommendation and the questionnaire to the user device through the electronic communication means.
5. The method as claimed in claim 1, wherein the input is a response input on the user device by the user of the user device to the event triggered by the expert system.
6. The method as claimed in claim 1, wherein the recommendation comprises one or more of a method, a quantity, a timing, and a duration for one or more of soil preparation, sowing, adding at least one of manures and fertilizers, irrigation, rotation of crops, and harvesting.
7. The method as claimed in claim 1, wherein analysing the input by the expert system comprises; processing the input and generating at least one of the recommendation and the questionnaire pertaining to the plot and the crop based on the input and agriculture technology.
8. A system for enabling the application of agriculture technology for a crop on a plot, the system comprising:
a user device; and
an expert system wherein the expert system is configured for:
a. triggering an event by the expert system, the event comprising at least one of a recommendation and a questionnaire pertaining to at least one of a plot and a crop, for conveying to the user device, through an electronic communication means;
b. receiving an input pertaining to the at least one of the plot and the crop, from the user device, the input being the input entered on to the user device, by a user of the user device;
c. analysing the input by the expert system; and
d. repeating the steps (a), (b) and (c) at predefined times, the times being predefined based on agriculture technology.
9. The system as claimed in claim 8, wherein the expert system comprises a server in communication with at least one agriculture technology database.
10. The system as claimed in claim 8, wherein the expert system comprises a server in communication with at least one agriculture technology database and one or more human experts.
1 1. The system as claimed in claim 10, wherein the agriculture technology database comprises scientific knowledge of agriculture technology data.
PCT/IB2017/055750 2016-09-27 2017-09-22 Method and system for enabling application of agricultural technology for an agriculture cycle WO2018060818A1 (en)

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Publication number Priority date Publication date Assignee Title
EP3859621A1 (en) * 2020-01-29 2021-08-04 365FarmNet Group KGaA mbh & Co KG Method for process-specific generation of agricultural data
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