Robots on the farm: what it takes to make autonomous agriculture trustworthy
A new review argues that trustworthy agricultural autonomy depends on integrating robot learning, safe control and human-robot interaction rather than ...
A new review argues that trustworthy agricultural autonomy depends on integrating robot learning, safe control and human-robot interaction rather than ...
A peer-reviewed review finds that AI-guided lasers, robotic cultivators and precision sprayers offer more targeted weed control but face high ...
A new detection framework combines hybrid attention, a slim dynamic head, and a novel loss function to spot crop diseases ...
A new adversarial deep learning system called ABox-PC digitally reconstructs the occluded surfaces of greenhouse tomatoes from single-view 3D scans, ...
A new end-to-end AI detector called SFM-DETR combines Mamba state space modeling with frequency-domain analysis to identify maize seedlings and ...
A new review in Current Research in Food Science details how artificial intelligence, CRISPR gene editing and RNA interference are ...
A new deep learning framework reconstructs invisible Red Edge and near-infrared bands from ordinary RGB drone imagery, bringing multispectral crop ...
A three-camera ground robot with a custom multi-RGBD SLAM framework now maps mature maize fields in real time, achieving 100 ...
Agricultural fields appear simple from a distance, consisting primarily of soil and crops, but the subsurface environment is a complex ...
Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine