MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122599 A) filed by Yogesh N; and Atme College Of Engineering, Mysuru, Karnataka, on Dec. 5, 2025, for 'cropsense: ai-driven predictions for crop patterns, disease management, and farming solutions.'
Inventor(s) include Yogesh N; and Sneha K.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention titled CropSense: AI-Driven Predictions for Crop Patterns, Disease Management, and Farming Solutions is an AI-driven agricultural decision support system that predicts optimal cropping patterns, recommends suitable crops based on soil and climate parameters, and detects crop diseases using machine learning. This proposed work aims at prediction of major cropping patterns through only the cultivation-related factors like land, soil, and climate data. On a suitable land, farmers can grow many types of crops and there is a need of knowing the right cropping patterns to attain best profits. In the current agriculture sector, there are the changes of reduction in crop yield, crop damages if farmer choose the random method of cropping. This is because proper crop yield depends on many agriculture parameters like temperature, rainfall, soli type, season etc. The primary objective of this project work is to identify the best algorithm for predicting cropping pattern."
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