Generative AI-driven hybrid data augmentation for robust tomato leaf disease classification in low-data regimes

Integrating Convolutional Patch Embedding and Graph Attention for Deep Learning–Based Potato Leaf Disease Classification

Precision pesticide application in solanaceous crops using transfer learning explainable artificial intelligence and drone based spatial zone mapping

Blanket pesticide spraying remains the default response to foliar disease in much of smallholder and mid-scale agriculture, despite three decades of precision-agriculture research arguing that inputs should be applied only where they are needed. This paper reports an case study of a drone-compatible precision-spraying...

An SPCL-Stacking ensemble learning framework for landslide susceptibility assessment

Machine learning has been increasingly applied to data driven landslide susceptibility assessment. However, false negative label noise introduced during negative sample selection and the limited predictive capability of single models remain unresolved issues. To address these issues, this study proposes an SPCL-Stackin...

Transforming climate-competition interactions into adaptive pruning decisions via crown dynamics modeling in Pinus koraiensis plantations

Unraveling multi-scale drivers of Chl-a dynamics via interpretable machine learning: a case study of Shahu Lake

Aquatic eutrophication exhibits pronounced temporal variability, yet conventional global interpretation frameworks often fail to capture short-term ecological responses and obscure environmental drivers that dominate only during specific ecological periods. To address this limitation, this study developed a multi-scale...

Betel Leaf Disease Classification Under Limited Data Using ConvNeXt-Tiny and UCB-Guided Adaptive Augmentation

Automated betel leaf disease recognition remains challenging under limited and imbalanced data conditions. This study investigates an Upper Confidence Bound (UCB)-guided adaptive augmentation framework for the classification of healthy leaves, leaf rot, and leaf spot. To reduce the risk of performance inflation caused...