AI Learns to Recognise Untagged Pigs Day After Day on the Farm
A computer vision framework re-identifies visually uniform, unmarked pigs across an 18-day period with 88% mean daily accuracy, rising to ...
A computer vision framework re-identifies visually uniform, unmarked pigs across an 18-day period with 88% mean daily accuracy, rising to ...
A geological-feature enhanced Cascade Mask R-CNN suppresses spectral confusion and class imbalance to recognize landslides in high-resolution satellite imagery, cutting ...
Researchers in Mexico have built an AI pipeline combining SAM2, Florence2 and Stable Diffusion XL to detect and segment cracks ...
A hierarchical computer vision framework combining object detection, SAM2 segmentation, and multi-object tracking enables contactless, individual-level dairy cow behavior monitoring ...
Researchers at Shanxi University have developed a YOLO-seg-based instance segmentation system that automatically identifies and classifies five types of deterioration ...
Oregon State University researchers have built an AI-enabled smart compost bin that automatically weighs, images, and labels household food waste ...
Researchers from Democritus University of Thrace propose DDMnet, a lightweight depthwise separable network integrated with Mask2Former, achieving near state-of-the-art instance ...
A new lightweight deep-learning framework called DeepTree detects, delineates, and measures individual tree crowns in drone imagery of northern China's ...
Researchers fine-tuned the Cellpose-SAM model to separate overlapping cervical cells in Pap-smear images, achieving improved segmentation accuracy on an independent ...
Researchers have developed a UGV-based framework that fuses RGBD and multispectral imaging with deep learning to produce high-quality 3D phenotypes ...
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© 2026 Scienmag - Science Magazine