MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133643 A) filed by Sr University, Warangal, Telangana, on Dec. 30, 2025, for 'an ai-based smart farming system for yield prediction and profit-optimized crop rotation recommendation.'
Inventor(s) include Mutpur Akhil Reddy; Mohammed Akramuddin; Kotha Sujith; and Sri Raman Kothuri.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses an AI-based smart farming system for yield prediction and profit-optimized crop rotation recommendation. The system integrates soil sensors, weather APIs, satellite/drone imagery, and market databases into a unified decision-support platform. Machine learning models forecast crop yield, while convolutional neural networks detect diseases and risks. A sustainability module calculates fertilizer, pesticide, and water efficiency, generating ecological scores. Market forecasting predicts future demand and prices, enabling profit-maximized crop rotation and logistics optimization. Real-time alerts notify farmers of pests, diseases, weather shocks, and market shifts. Insights are delivered via a mobile/web dashboard, reports, and notifications. A feedback loop retrains models using actual yield and farmer responses, ensuring continuous improvement. The novelty lies in combining six essential processes-yield estimation, crop rotation, logistics optimization, sustainability scoring, real-time alerts, and risk management-into one AI-powered platform, enhancing profitability, ecological stewardship, and operational efficiency for farmers."
Disclaimer: Curated by HT Syndication.
