MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202411089070 A) filed by Chandigarh Group Of Colleges on November 18, 2024, for System For Machine Learning-Based Agricultural Recommendations And Targeted Fertilization Management.
Inventors include Dr Abhishek Sharma; Raghav Goyal; Piyush Bhatt; and Manish.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses an intelligent system for machine learning-based agricultural recommendations and targeted fertilization management. The system integrates three core components: a rainfall prediction model, a temperature prediction model utilizing deep learning algorithms, and a fertilizer recommendation engine employing multi-objective optimization. The invention processes real-time soil nutrient data, environmental conditions, and historical patterns to generate precise fertilizer recommendations. The system demonstrates significant improvements in agricultural efficiency, achieving reduction in fertilizer waste and increase in crop yields through its sophisticated data analysis and prediction capabilities. Implementation results show enhanced resource utilization and improved sustainability across various crop types, providing farmers with actionable insights through an intuitive interface for optimal agricultural management.
Disclaimer: Curated by HT Syndication.
