MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048432 A) filed by Sona College Of Technology, Salem, Tamil Nadu, on April 16, for 'ai-powered crop yield prediction and optimization system.'
Inventor(s) include Padmavathy S; Deepakkumar K M; Dharunkumar S; Abhishek K U; Deepak S S; Arcchana K; and Mounika V.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent crop yield prediction and optimization system for precision agriculture. The system receives agricultural input parameters including soil characteristics, climatic data, and land attributes, processes the parameters to generate standardized data, and produces predicted crop yield values under a plurality of cultivation scenarios. The cultivation scenarios include native soil nutrition, chemical fertilizer application, and natural fertilizer application. The system further evaluates predicted yield values to recommend an optimal crop for cultivation based on comparative performance and economic indicators. By enabling scenario-wise yield comparison and integrated crop optimization within a unified technical architecture, the invention supports data-driven, sustainable, and profitable agricultural decision-making. The system provides actionable outputs through a user-accessible interface, thereby improving accuracy and efficiency of crop planning across diverse agricultural conditions."
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