MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202521132735 A) filed by Sneha Deshmukh; and Dr. Prabhakar L. Ramteke, Pune, Maharashtra, on Dec. 28, 2025, for 'an iot and machine learning enabled multi-criteria decision support system for precision agriculture with futuristic crop disease prediction.'
Inventor(s) include Sneha Deshmukh; and Dr. Prabhakar L. Ramteke.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "Precision agriculture requires accurate, real-time, and predictive decision-making to optimize irrigation, fertilizer usage, crop yield, and disease management. Existing agricultural systems largely rely on isolated parameters or single-objective decision models, leading to inefficient water utilization, improper fertilizer application, and delayed disease identification. The present invention proposes an integrated Internet of Things (IoT) and Machine Learning (ML) based Decision Support System (DSS) that continuously monitors soil, environmental, and crop parameters and provides intelligent, multi-criteria recommendations to farmers. The proposed system combines sensor-based real-time data acquisition with advanced machine learning models, including a Bayesian Q-Network for irrigation and fertilizer decision-making and a Hopfield Symmetric Convolutional Neural Network with Gaussian Probabilistic Ordinal Regression for futuristic prediction and classification of crop diseases and pests. The system operates through a cloud-based architecture with a web dashboard for remote monitoring and control, thereby improving crop productivity, reducing resource wastage, and enhancing sustainability in precision agriculture."
Disclaimer: Curated by HT Syndication.
