Intellectual Property India Publishes Patent Application for An Ai-Driven Agricultural Guidance, Verification, And Offline Emergency Reporting Platform And Methods Thereof

MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621053704 A) filed by Vandana Sharad Patil; Dr. D. Y. Patil Institute Of Engineering, Management And Research; Shevatekar Pratiksha P; Vasekar Shivaji Rajaram; Sontakke Sarthak Pramod; Kenekar Saish Sarangdhar; Sable Rohit Deepak; Kejdiwal Himanshu Ghanshyam; Gupta Shubham; Kesarkar Diya Dayanand; and Kulkarni Akanksha Jayant on April 27, 2026, for An Ai-Driven Agricultural Guidance, Verification, And Offline Emergency Reporting Platform And Methods Thereof.

Inventors include Vandana Sharad Patil; Shevatekar Pratiksha P; Vasekar Shivaji Rajaram; Sontakke Sarthak Pramod; Kenekar Saish Sarangdhar; Sable Rohit Deepak; Kejdiwal Himanshu Ghanshyam; Gupta Shubham; Kesarkar Diya Dayanand; and Kulkarni Akanksha Jayant.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: ABSTRACT AN AI-DRIVEN AGRICULTURAL GUIDANCE, VERIFICATION, AND OFFLINE EMERGENCY REPORTING PLATFORM AND METHODS THEREOF An AI-driven agricultural platform is disclosed for guiding, verifying and rewarding farming activities in low-connectivity rural environments. The platform includes a mission generation engine that combines expert crop pipelines with a large language model and real-time weather triggers to produce personalized, stage-aware missions. A multi-layer fraud detection module applies perceptual hashing, EXIF analysis, GPS distance checks and behavioral rate-limiting before vision-based verification by a multimodal model. An offline queue manager, encryption layer and synchronization engine implement priority-ranked, offline-first disaster reporting using a typed action-priority taxonomy. A dual-ledger EcoScore system maintains a sustainability index and derived credit balance with atomic updates and audit trails, enabling a sustainability-indexed marketplace. Additional modules provide weather-adaptive learning, crop-stage-aware quiz generation and institutional mission assignment through a progressive web application on farmer devices.

Disclaimer: Curated by HT Syndication.