MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075665 A) filed by Sr University on June 18, 2026, for A Bell-Pepper Image Leaf Disease Detection System Using A Bit-Level Adaptive Spatial Attention Based Inceptionv3 Model.
Inventors include Radhika Ch; and Rajchandar K.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: A BELL-PEPPER IMAGE LEAF DISEASE DETECTION SYSTEM USING A BIT-LEVEL ADAPTIVE SPATIAL ATTENTION BASED INCEPTIONV3 MODEL The invention relates to a bell-pepper leaf disease detection system using a Bit-Level Adaptive Spatial Attention based InceptionV3 model. The system preprocesses leaf images through resizing, normalization, and noise removal, followed by UNet-based segmentation to isolate relevant regions. A novel Bit direction and Positional Context Convolutional Block Attention Module (BPCCBAM) is integrated into the InceptionV3 architecture to enhance feature representation. The BPCCBAM combines Channel Attention Mechanism, Bit Directions Adaptive Spatial Attention Mechanism, and Positional Attention Mechanism to emphasize informative channels, capture fine-grained pixel variations, and model long-range spatial dependencies. The refined features are classified using fully connected and softmax layers to provide accurate multi-disease predictions. The invention improves disease localization and classification accuracy under varying imaging conditions while maintaining low computational complexity, making it highly suitable for real-time precision agriculture.
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