Tag: plant disease detection

A 79,717-parameter attention-fused neural network called LeafXNet matches or beats far larger deep learning models at detecting watermelon, grape, and ...

SNV-corrected reflectance and PLS-DA perfectly separated seven post-inoculation stages of ToBRFV-infected tomato leaves in internal testing, but leakage-prone feature selection ...

Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...

Researchers in Pune have built a Dual GAN–Diffusion generative learning system that synthesizes realistic, diverse pomegranate disease images from field-acquired ...

A new few-shot learning framework called ViTRelNet co-adapts a fine-tuned Vision Transformer with a learned similarity metric to classify unseen ...

Researchers have built SpudNet5-R3, a lightweight explainable convolutional neural network that detects potato early and late blight with up to ...

A sweeping review of 1,081 studies from 2014 to 2024 shows convolutional neural networks rapidly becoming the world's leading tool ...

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of ...

Researchers have developed a lightweight deep learning framework that grades early sugarcane pokkah boeng disease severity on a smartphone with ...

Researchers fused the SAM and CLIP vision foundation models into an AI pipeline that segments grapevine powdery mildew pixel by ...