MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641067275 A) filed by G. Hemaprabha; Vishak A; Vikastk; Srinithi K; Vaimitraa S; and Yashvanth K on May 29, 2026, for Ai Based Sustainable Farming Advisory System Using Rag And Real Time Data.
Inventors include G. Hemaprabha; Vishak A; Vikastk; Srinithi K; Vaimitraa S; and Yashvanth K.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention pertains to a computer-based sustqinable farming advisory platform intended for implementation in intelligent agricultural decision-support systems. The platform, identified as Intelligent Sustainable Farming Advisory System Using Retrieval- Augmented Generation, provides a secure web-based environment through which authenticated users can submit farm-related input comprising soil type, location, weather conditions, and previOus crop details, and obtain corresponding crop recommendations and advisory outputs. The system includes a recommendation engine configured to normalize input data, perform condition-based evaluation, apply rule-based analysis including soil compatibility, seasonal suitability, weather assessment, and crop rotation logic, and retrieve corresponding crop suggestions and advisory insights from a database-backed agricultural knowledge repository. Administrative users are provided with role-restricted functionality for managing crop datasets and uploading new agricultural knowledge resources, thereby enabling expansion and refinement of the advisory repository over time. The platform further includes an optional artificial-intelligence-assisted advisory layer configured to perform contextual interpretation and generate structured farming guidance for improved recommendation quality, with fallback to deterministic rule-based processing when required. A structured visualization mechanism is employed to present crop recommendations and advisory outputs in an organized manner with reduced ambiguity and improved usability. The system additionally exposes matched and unmatched evaluation parameters to improve transparency and dataset enhancement. By integrating secure authentication, dataset-driven crop mappmg, administrative knowledge management, optional AI-assisted advisory generation, and structured recommendation delivery within a unified architecture, the invention facilitates practical, scalable, ·and efficient agricultural decision-making for sustainable farming practices.
Disclaimer: Curated by HT Syndication.
