MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621072756 A) filed by Shubham Abhay Pathak; Dr. Bhakti Chauhan; Dr. Nallanti Venkateswararao; Dr Padmaja Pulicherla; Vinay Saxena; Parul Saxena; Digvijay Babasaheb Kokate; Eknath Prasath M; Dr Sumanta Bhattacharya; G Sasikumar; Urlam Pranita; and Mrs. S. Kayathri on June 11, 2026, for Ai-Driven Plant Leaf Disease Detection And Adaptive Fertilizer Optimization Framework For Sustainable Agriculture.
Inventors include Shubham Abhay Pathak; Dr. Bhakti Chauhan; Dr. Nallanti Venkateswararao; Dr Padmaja Pulicherla; Vinay Saxena; Parul Saxena; Digvijay Babasaheb Kokate; Eknath Prasath M; Dr Sumanta Bhattacharya; G Sasikumar; Urlam Pranita; and Mrs. S. Kayathri.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to the development of an AI-powered approach for detecting plant leaf diseases and adaptive fertilizer recommendations for sustainable farming practices. The approach includes the use of sophisticated imaging technologies, machine learning techniques, and agricultural analytics to detect plant leaf diseases in their early stages and suggest adaptive fertilization solutions. Images are acquired by using advanced imaging devices, either mobile phones, drones, or soil sensors in the fields, and they are classified using a deep learning technique that detects disease symptoms with high precision. At the same time, soil properties, growth characteristics of plants, weather information, and nutrient requirements are analyzed using AI-powered forecasting systems, which provide crop-specific fertilization needs. Finally, the system produces an adaptive fertilizer plan that will contribute to better crop growth while avoiding excessive chemicals. FIG.1
Disclaimer: Curated by HT Syndication.
