Tag: deep learning in agriculture

A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...

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

A new robotic system combines deep learning recognition with optimised grasp planning to harvest tomatoes in dense clusters with minimal ...

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

A hierarchical computer vision framework combining object detection, SAM2 segmentation, and multi-object tracking enables contactless, individual-level dairy cow behavior monitoring ...

Researchers compared seven convolutional neural network architectures for detecting diseases and pests in star fruit and found that the classic ...

Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...

Researchers in South Dakota combined drone multispectral imagery with an attention-enhanced deep learning model to estimate wheat tiller density with ...

Researchers have developed an attention-enhanced YOLOv8n-CBAM deep learning model that detects red palm weevils in pheromone trap images with high ...

Researchers at Fujian Agriculture and Forestry University have developed GDE-YOLO, a lightweight deep learning model that detects tea leaf diseases ...