MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631062282 A) filed by Dream Institute Of Technology; and Dr. Dipankar Sarkar, Kolkata, West Bengal, on May 16, for 'advanced machine learning approaches for soil type classification in precision agriculture.'
Inventor(s) include Dr. Dipankar Sarkar.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to advanced machine learning approaches for soil type classification in precision agriculture using intelligent data processing and predictive analytics. The invention comprises soil sensing units, environmental monitoring systems, data preprocessing engines, machine learning classification modules, predictive analytics systems, cloud-based storage architectures, and automated agricultural recommendation engines integrated within a unified precision farming framework. Soil parameters including moisture content, pH value, nutrient composition, salinity, temperature, conductivity, and texture are collected through sensor-based monitoring systems and processed using advanced machine learning algorithms including Random Forest, Support Vector Machine, Artificial Neural Networks, Decision Trees, and Deep Learning models. The classification module accurately identifies soil categories and generates predictive agricultural recommendations related to crop suitability, irrigation scheduling, fertilizer optimization, and soil management practices. The invention enables real-time soil analysis, intelligent agricultural decision-making, scalable deployment, improved farming productivity, resource optimization, and sustainable agricultural management suitable for modern smart farming and precision agriculture applications."
Disclaimer: Curated by HT Syndication.
