MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202631010277 A) filed by Dream Institute Of Technology; and Dr. Dipankar Sarkar, Kolkata, West Bengal, on Jan. 31, 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 Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a computer-implemented system and method for automated soil classification and crop-specific nutrient recommendation using machine learning and image processing techniques. The system employs soil image acquisition followed by preprocessing, feature extraction, and classification using supervised learning algorithms, including Gradient Boosting and Support Vector Machines. Unlike conventional soil analysis methods that rely on time-consuming laboratory testing and expert interpretation, the proposed approach provides rapid, data-driven soil assessment based on visual characteristics such as soil texture and color. The classified soil type is mapped to a crop and nutrient recommendation database to determine optimal cultivation conditions, with particular emphasis on tea and coffee crops. The system enhances precision agriculture by reducing manual intervention, improving classification accuracy, and optimizing resource allocation. The invention further supports scalability and sustainability in agriculture and enables future integration with IoT sensors, satellite imagery, and advanced deep learning models for real-time and adaptive soil management."
Disclaimer: Curated by HT Syndication.
