MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202521132878 A) filed by Bharati Vidyapeeth Deemed University Department Of Engineering Technology, Navi Mumbai; Dr. Divya Rohatgi; Dr. Supriya Khaitan; Dr. Nidhi Sharma; Dr. Kamal Mehta; and Dr. Mohan Awasthy on December 29, 2025, for Multispectral Edge-Ai System For Early Banana Disease Detection And Predictive Analytics.
Inventors include Dr. Divya Rohatgi; Dr. Supriya Khaitan; Dr. Nidhi Sharma; Dr. Kamal Mehta; and Dr. Mohan Awasthy.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT: Multispectral Edge-AI System for Early Banana Disease Detection and Predictive Analytics This invention describes a comprehensive banana plantation disease detection and prediction platform integrating multispectral imaging, deep-learning analytics, environmental sensor fusion, drone-assisted edge computation, and blockchain-secured diagnostic record management. The system acquires RGB, near-infrared, and ultraviolet-induced fluorescence data to identify subclinical physiological and biochemical deviations associated with early-stage banana leaf diseases. A deep convolutional neural network processes the multispectral inputs to classify disease type and compute a Disease Progression Index. Concurrently, microclimatic parameters—including soil moisture, humidity, and temperature—are algorithmically fused with spectral data to enhance prediction accuracy. Real-time inference is performed on drone-mounted edge-AI processors, enabling continuous operation in low-connectivity environments. All diagnostic events are cryptographically hashed, timestamped, geotagged, and immutably stored on a blockchain ledger. The integrated platform provides early detection, severity quantification, predictive modeling, and verifiable traceability, thereby improving disease management and yield preservation in banana cultivation systems.
Disclaimer: Curated by HT Syndication.
