MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083761 A) filed by S. B. G. Thilak; Abdul Hamid Ansari; V. Thirumurugan; M. Surya Prakash Reddy; Dr. R. Vijayarangan; Prof. Aboli Vishal Jadhav; Mr. Mithun Ms; and Dr. Nagaraj G on July 08, 2026, for Ai Powered Crop Disease Detection System For Early Intervention.
Inventors include S. B. G. Thilak; Abdul Hamid Ansari; V. Thirumurugan; M. Surya Prakash Reddy; Dr. R. Vijayarangan; Prof. Aboli Vishal Jadhav; Mr. Mithun Ms; and Dr. Nagaraj G.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: AI-POWERED CROP DISEASE DETECTION SYSTEM FOR EARLY INTERVENTION ABSTRACT The present invention relates to an AI-powered crop disease detection system designed for early identification and intervention to prevent crop losses. Utilizing advanced machine learning algorithms, the system analyzes high-resolution images of crops captured through drones, cameras, or mobile devices. By processing visual data, the system can accurately detect the early stages of diseases, pests, or environmental stress factors that threaten crop health. The core of the system is a deep learning model trained on a diverse dataset of crop images, enabling it to recognize patterns and anomalies indicative of various diseases across different crop types and environmental conditions. Once a potential disease is identified, the system provides real-time alerts and actionable recommendations to the farmer through a mobile app or web interface. This allows for immediate intervention, minimizing damage and optimizing resource use. The system can also integrate with other farm management tools, offering a comprehensive approach to crop health monitoring. By detecting diseases at an early stage, the AI-powered system not only improves crop yield and quality but also reduces the need for chemical treatments, promoting sustainable farming practices. The invention provides an efficient, scalable, and accurate solution to enhance productivity and food security in modern agriculture.
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