MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202521015481 A) filed by Rungta International Skills University; Rungta College Of Engineering & Technology; and Rungta College Of Pharmaceutical Sciences And Research on February 22, 2025, for Ai-Powered Groundnut Disease Analyzer With Advanced Real-Time Diagnosis, Environmental Insights, And Sustainable Policy Guidance.
Inventors include Dr Shaziya Islam; Mandeep Kumar; Irshad Alam; Pradeep Kumar; Abhijeet Keshri; Mimshad Alam; Jay Kumar Sharma; Raja Kumar; Rani Kumari; and Himanshu Kumar.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: AI-Powered Groundnut Disease Analyzer with Advanced Real-Time Diagnosis, Environmental Insights, and Sustainable Policy Guidance This invention describes AI- Powered Groundnut Disease Analyzer is an advanced diagnostic and predictive tool designed for precise crop health monitoring. Utilizing YOLO-based Convolutional Neural Networks, it identifies groundnut leaf diseases with 99.9% accuracy, detecting early and late leaf spots, rust, and other conditions. The system integrates environmental sensors to monitor factors like temperature, humidity, and UV levels, correlating these with disease patterns for actionable insights. With cloud connectivity, geotagging, and predictive analytics, the device facilitates large-scale studies, enabling the creation of region-specific strategies for disease prevention, resource allocation, and sustainable agricultural practices. Its lightweight design ensures deployment in diverse terrains, while centralized data collection supports real- time analysis and policy formulation. By bridging advanced AI with practical applications, the analyzer empowers farmers, researchers, and policymakers to combat disease outbreaks efficiently, ensuring higher crop yields, reduced resource wastage, and resilience to climate shifts.
Disclaimer: Curated by HT Syndication.
