MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611040972 A) filed by Galgotias University on March 31, 2026, for A Machine Learning-Based Intelligent Crop Recommendation System Using Two-Stage Hierarchical Classification.
Inventors include Adveta Rai; Shubh Tiwari; and Kailash Bajpai.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a machine learning-based intelligent crop recommendation system utilizing a two-stage hierarchical classification model. The system processes eight environmental and soil parameters to predict suitable crops. A Random Forest classifier is employed in the first stage to classify crops into primary categories, while a Euclidean distance-based method is used in the second stage to determine vegetable subtypes when applicable. The system is trained on a validated dataset and achieves high accuracy. It is lightweight, scalable, and capable of real-time, offline operation on mobile devices, thereby enabling efficient and precise crop recommendations for agricultural applications.
Disclaimer: Curated by HT Syndication.
