Jiaju Wang, Uzair Iqbal, Nurzati I. Othman, Hamza Ibrahim
This study addresses the challenges of hyperparameter optimization in Convolutional Neural Networks (CNNs) for crop health classification under simulated UAV-based monitoring conditions using a publicly available multimodal dataset of laboratory-crops. The study does not provide specific results or performance metrics. The main implication is the need to address hyperparameter optimization challenges in CNNs for UAV-based crop health classification.
This study addresses the challenges of hyperparameter optimization in Convolutional Neural Networks (CNNs) for crop health classification under simulated UAV-based monitoring conditions using a publicly available multimodal dataset of laboratory-ca