ENHANCING WHEAT LEAF DISEASE PREDICTION A BUTTERFLY OPTIMIZED CONVOLUTIONAL NEURAL NETWORK APPROACH

Learn about the novel approach to wheat leaf disease prediction using Butterfly Optimized Convolutional Neural Networks (CNN). The process includes image pre-processing with Gabor filters, segmentation via local thresholding, feature extraction using GRCM, and classification with an optimized CNN. This innovative method ensures accurate and efficient disease detection. Ideal for researchers and agricultural professionals looking to improve crop health monitoring and management.
To know more, contact:
AB TECHNOLOGIES-9840511458,
[e-mail],
website- www.abtechnologies.in