
AN EFFICIENT AND INTERPRETABLE HYBRID AI FRAMEWORK FOR COCONUT LEAF DISEASE DIAGNOSIS USING CONVOLUTIONAL NEURAL NETWORKS
(STEF92 Technology, 2026, Sweety Joy C)
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Coconut cultivation is a vital component of agricultural sustainability in tropical regions, particularly in Kerala, India, where leaf diseases pose a significant threat to crop yield and plantation health. Automated diagnosis of coconut leaf diseases using vision-based deep learning models has shown promising performance, but their real-world applicability is limited by challenges such as severe class imbalance, high-dimensional feature learning, excessive computational overhead, and limited interpretability duri...
