MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113297 A) filed by Ajay Kumar Garg Engineering College on September 22, 2026, for An Ai-Based System And Method For Predicting Crop Residue Burning Risk And Sustainable Residue Management.
Inventors include Dr. Rajesh Prasad; Priyanshi Porwal; Shayali Nayak; Sneha Bajaj; and Tanu Tyagi.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to an AI-based system (100) and method for predicting crop residue burning risk and enabling sustainable residue management. The system comprises a user interface module (102), a data acquisition module (104) integrated with IoT sensors, an external data integration module (106) receiving satellite imagery and weather data, a data pre-processing unit (108), an AI/ML prediction engine (110), a risk assessment and classification module (112), a decision support system (114), a sustainable residue management module (116), a recommendation and alert module (118), a monitoring and feedback module (120), and a model learning and update module (122), interconnected through a central database (124) and communication network (126). The invention synergistically fuses multi- modal agricultural, environmental and historical data to proactively predict burning risk, generate real-time alerts, and recommend eco-friendly residue-utilisation alternatives, thereby reducing air pollution. Reference Figure: FIG. 1.
Disclaimer: Curated by HT Syndication.
