Adaptive KOA: Leaf Disease Classification Using Hyperspectral Images for Internet of Things (IoT)-Based Sustainable Agriculture

In an effort to automate legitimate plant disease identification, this study introduces the Adaptive KOA system, a ground-breaking method that combines hyperspectral imaging, IoT technology, and the Adaptive Kookaburra Optimization Algorithm (Adaptive KOA). The system performs exceptionally well in adaptive illness classification because it integrates a 3D-convolutional neural network, leaf segmentation, feature extraction, and clustering. It’s important because it solves the financial constraints of conventional techniques, providing farmers with an automated and affordable option for well-informed decision-making. The Adaptive KOA system is a game-changer that sits at the nexus of sustainability and technology. It improves food quality, preserves resources, and is economically viable in the ever-changing IoT world. This innovation satisfies the changing needs of modern farming and is a major step toward a more resilient and sustainable future for agriculture.