Recent advances in deep learning have transformed plant pathology by enabling rapid, accurate detection and classification of plant diseases. Convolutional neural networks (CNNs), enhanced by ...

A research team now proposes a novel Multi-Granularity Alignment (MGA) domain adaptation framework that dramatically improves cross-domain detection accuracy, enabling deep learning models to maintain ...

Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome 'fault detection and classification' in the operation and ...