MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202611010841 A) filed by Mr. Anil Tanwar; Dr. Parveen Kumar Sharma; Mr. Shekhar Singh; Dr. Dinesh Kumar; and Dr. Basant Kumar Verma on February 02, 2026, for System For Crop Disease Prediction Using Multispectral Image Analysis And Deep Learning.
Inventors include Mr. Anil Tanwar; Dr. Parveen Kumar Sharma; Mr. Shekhar Singh; Dr. Dinesh Kumar; and Dr. Basant Kumar Verma.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: A system (100) and method (200) for crop disease prediction using multispectral image analysis and deep learning algorithms are disclosed. The system (100) includes a multispectral image acquisition unit (110) configured to capture multispectral images of crop fields across a plurality of spectral bands. A preprocessing module (120) processes the multispectral images to perform radiometric correction, geometric correction, and normalization. A feature extraction module (130) extracts spectral, spatial, and vegetation index features from the preprocessed images. A deep learning model (140) analyzes the extracted features to predict crop disease type and disease severity. A disease prediction module (150) generates crop disease prediction results based on the outputs of the deep learning model (140), and an output interface (160) presents the prediction results to a user. The disclosed invention enables early, accurate, and scalable crop disease detection, supporting precision agriculture and improved crop management.
Disclaimer: Curated by HT Syndication.
