Abstract: A BLOCK CHAIN-ENABLED FRAMEWORK FOR CROP DISEASE PREDICTION AND FARMER ADVISORY SERVICES The present invention discloses a blockchain-enabled framework for real-time crop disease prediction and personalized farmer advisory services. The system integrates Artificial Intelligence (AI) with Blockchain Technology to enhance agricultural decision-making, ensure data security, and build trust among stakeholders. The framework comprises a data acquisition module that collects agricultural data including crop images, environmental parameters, and field documentation through IoT sensors, drones, and mobile applications. An AI-based disease prediction engine employing deep learning models such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks analyzes the data to detect crop diseases accurately. A blockchain integration layer ensures secure, immutable storage of prediction results and farmer data on a private blockchain network. A smart contract-based advisory system generates automated and personalized recommendations related to pesticide use, irrigation scheduling, and preventive actions. Additionally, the system features a decentralized farmer-expert network for consultations and a token-based incentive mechanism to promote quality data contribution and sustainable farming. The invention offers a secure, intelligent, and scalable solution to existing challenges in agricultural advisory services.
Description:FIELD OF THE INVENTION
This invention relates to A Block chain-Enabled Framework for Crop Disease Prediction and Farmer Advisory Services
BACKGROUND OF THE INVENTION
In modern agriculture, timely and accurate crop disease prediction is critical for ensuring food security and improving farmer livelihoods. However, existing systems for disease detection and farmer advisory often suffer from issues such as lack of transparency, centralized control, delayed information dissemination, data tampering, and limited accessibility in rural areas. These challenges lead to delayed responses to disease outbreaks, reduced crop yields, and increased dependency on middlemen for critical farming decisions.
Moreover, there is a pressing need for a decentralized, secure, and transparent system that not only predicts crop diseases with accuracy but also provides real-time, trustworthy advisory services to farmers. Blockchain technology, with its inherent features of immutability, traceability, and decentralization, holds immense potential to address these challenges. However, its integration with AI/ML-based disease prediction systems in the agricultural domain remains underexplored and underutilized.
Therefore, this research aims to design and develop a Blockchain-Enabled Framework for Crop Disease Prediction and Farmer Advisory Services, which ensures data integrity, promotes trust among stakeholders, and empowers farmers with timely, personalized, and secure agricultural recommendations.
Currently, several commercial and research-based solutions exist for crop disease detection and farmer advisory services. However, most of these solutions operate in centralized architectures and lack integrated block chain-based data security and trust mechanisms. Known Products / Services:
1. Plantix (by PEAT GmbH):
A mobile application that uses image recognition to diagnose crop diseases and offers remedial suggestions. It is widely used but does not incorporate blockchain for data validation or advisory traceability.
2. Krishi Network
A farmer-focused app offering expert advice, weather alerts, and crop guidance. Though accessible, it operates on centralized servers, making it prone to data manipulation and lacks transparent audit trails.
3. IBM Watson Decision Platform for Agriculture
Uses AI and weather data for crop management. While highly advanced, it is enterprise-focused and does not offer blockchain-based decentralization or farmer-to-farmer data sharing.
4. AgUnity
A blockchain-based app focused on farmer transactions and record-keeping, but it does not feature integrated disease prediction or real-time advisory based on crop health analysis.
Most present agricultural advisory and disease prediction systems rely on centralized storage, limiting transparency and trust. They often produce inaccurate results under poor lighting, low resolution, or diverse crop conditions.
There is no secure way to verify or trace agricultural data, making it prone to manipulation.
Generic advisories and expert dependence cause delays and reduce farmer engagement.
The proposed block chain-based system ensures secure data handling, accurate predictions, and personalized, timely advice.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
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 is illustrated in the appended drawings. It is appreciated that these drawings 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 drawings.
The proposed invention presents an integrated, Blockchain-Enabled Framework designed for real-time crop disease prediction and personalized farmer advisory services. This novel system combines the strengths of Artificial Intelligence (AI) and Blockchain Technology to enhance agricultural decision-making, ensure data security, and foster trust among farming communities and stakeholders.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The proposed invention presents an integrated, Blockchain-Enabled Framework designed for real-time crop disease prediction and personalized farmer advisory services. This novel system combines the strengths of Artificial Intelligence (AI) and Blockchain Technology to enhance agricultural decision-making, ensure data security, and foster trust among farming communities and stakeholders.
The system contains these three principal elements
1. Data Acquisition Module: Users can access online information about crops through IoT sensors merged with drone technology and mobile applications which collect ongoing agricultural data such as crop images combined with moisture readings and temperature measurements and humidity statistics and disease prevention records. Through the mobile platform users get access to a basic user interface where they can upload pictures together with field documentation.
2. AI-Based Disease Prediction Engine: Deep learning models CNNs and LSTMs process recorded data to provide exact identifications of crop diseases. This system produces predictions through environmental data which increase its reliability output.
3. Blockchain Integration Layer: Information with prediction results gets stored through the Blockchain Integration Layer within a private blockchain network. The data management system delivers complete data transparency via unmodified records to every participant as it safeguards against alteration attempts which promotes trust between farmers and agronomists together with policymakers.
4. Smart Contract-Based Advisory System: The disease prediction data drives automatic recommendation services by creating pesticide plans together with irrigation schedules and prevention steps. The system delivers safety-assured notifications to farmers by using their mobile devices.
5. Decentralized Farmer Community & Expert AccessThe framework uses its peer-to-peer capabilities to link farmers with verified local experts and authorities for consultation sessions which blockchain technologies both monitor and retain for feedback assessment.
6. Incentive & Feedback Mechanism: The incentive program presents valuable token incentives to farmers for offering high-quality data coupled with sustainable farming practices in order to expand membership.
Farmers receive secured recommendations from experts along with payment through tokens and better disease detection services as well as tamper-proof secure communication through this invention. The combination of AI with blockchain technology through unified architecture solves current agri-advisory system problems so farmers receive an intelligent agricultural solution of expanding capabilities for coming years.
NOVELTY:
The proposed system is a Block chain-Enabled Crop Disease Prediction and Farmer Advisory Framework, which uniquely integrates AI-based disease detection with block chain-secured smart contracts to deliver personalized, tamper-proof agricultural recommendations in real time, ensuring data transparency and farmer trust.
ADVANTAGES OF THE INVENTION
• The proposed Blockchain-Based Disease Prediction and Farmer Advisory System integrates AI-based disease detection with blockchain technology, unlike existing systems that rely on centralized models without secure traceability or data integrity.
• It ensures tamper-proof and transparent storage of disease-related data and advisory records using blockchain, which is not available in conventional mobile or web-based advisory tools.
• The system utilizes smart contracts to automate the delivery of personalized, real-time guidance to farmers based on crop health analytics, reducing delays and human intervention.
• Unlike current platforms that provide generalized suggestions, this framework delivers farm-specific advisory outputs by combining machine learning predictions with field-level data securely stored on the blockchain.
• It empowers farmers with data ownership and trust, encouraging greater participation and feedback in the digital agriculture ecosystem—an aspect lacking in most existing commercial systems.
, Claims:1. An integrated system for crop disease prediction and farmer advisory services, comprising:
a data acquisition module configured to collect agricultural data including crop images, temperature, humidity, moisture content, and disease prevention records using IoT sensors, drone technology, and mobile applications;
an AI-based disease prediction engine employing deep learning models comprising Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to process the collected data and identify crop diseases;
a blockchain integration layer adapted to record prediction outputs and field data onto a private blockchain network for ensuring data integrity and immutability;
a smart contract-based advisory system configured to generate automatic disease management recommendations including pesticide application, irrigation scheduling, and preventive measures based on the prediction results; and
a decentralized community access interface adapted to connect farmers with verified experts and authorities via blockchain-monitored consultation mechanisms.
2. The system as claimed in claim 1, wherein the mobile application provides a user interface that enables users to upload real-time crop images and field documentation, and to receive advisory alerts and disease notifications on their mobile devices.
3. The system as claimed in claim 1, wherein the blockchain integration layer is configured to store user-submitted data and AI-generated disease predictions in a tamper-proof format, enabling transparent and verifiable interactions between farmers, agronomists, and policymakers.
4. The system as claimed in claim 1, wherein the smart contract-based advisory system triggers automated responses upon disease detection, including pesticide selection plans, irrigation strategies, and real-time preventive advice tailored to specific crop conditions.
5. The system as claimed in claim 1, whereinfurther comprising an incentive and feedback mechanism configured to distribute token-based rewards to farmers for contributing high-quality agricultural data and adopting sustainable farming practices, wherein said tokens are also usable for accessing premium advisory services.
| # | Name | Date |
|---|---|---|
| 1 | 202541053366-STATEMENT OF UNDERTAKING (FORM 3) [02-06-2025(online)].pdf | 2025-06-02 |
| 2 | 202541053366-REQUEST FOR EARLY PUBLICATION(FORM-9) [02-06-2025(online)].pdf | 2025-06-02 |
| 3 | 202541053366-POWER OF AUTHORITY [02-06-2025(online)].pdf | 2025-06-02 |
| 4 | 202541053366-FORM-9 [02-06-2025(online)].pdf | 2025-06-02 |
| 5 | 202541053366-FORM FOR SMALL ENTITY(FORM-28) [02-06-2025(online)].pdf | 2025-06-02 |
| 6 | 202541053366-FORM 1 [02-06-2025(online)].pdf | 2025-06-02 |
| 7 | 202541053366-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [02-06-2025(online)].pdf | 2025-06-02 |
| 8 | 202541053366-EVIDENCE FOR REGISTRATION UNDER SSI [02-06-2025(online)].pdf | 2025-06-02 |
| 9 | 202541053366-EDUCATIONAL INSTITUTION(S) [02-06-2025(online)].pdf | 2025-06-02 |
| 10 | 202541053366-DRAWINGS [02-06-2025(online)].pdf | 2025-06-02 |
| 11 | 202541053366-DECLARATION OF INVENTORSHIP (FORM 5) [02-06-2025(online)].pdf | 2025-06-02 |
| 12 | 202541053366-COMPLETE SPECIFICATION [02-06-2025(online)].pdf | 2025-06-02 |