AI Counts Wheat Seedlings From Drone Images Using Only Dot Annotations
A new point-supervised deep learning model counts wheat seedlings in drone images using only dot annotations while also mapping their ...
A new point-supervised deep learning model counts wheat seedlings in drone images using only dot annotations while also mapping their ...
A multi-scale vision transformer analyzing UAV hyperspectral images identified pine wilt disease at the green attack and early stages with ...
A new dataset called BorFIT provides 16,530 manually segmented, species-labelled boreal trees from UAV-LiDAR surveys across Siberia, Canada and Alaska ...
A two-flight UAV framework combining pre-season bare-soil imagery with pod-filling canopy indices modestly improved field-scale soybean yield prediction in Northeast ...
A YOLOv11-based detector called DFL-YOLO combines large selective kernels, density-guided frequency decoupling and a hybrid regression loss to reach 82.2% ...
Researchers in Yunnan Province, China, have developed a low-cost method that counts tobacco plants from UAV imagery by tracing row ...
A 2025 Shandong field study found that attention-guided feature selection enabled a UAV random forest to estimate maize maturity with ...
A new framework in Theoretical and Applied Genetics proposes boosting soybean yields by improving photosynthetic efficiency through high-throughput drone phenotyping, ...
Researchers in China have developed a label-free temporal weighting method that fuses multispectral drone imagery from three wheat growth stages, ...
A two-year Finnish field campaign combining sap-flow sensors, eddy-covariance towers and drone imaging shows that selectively thinned Norway spruce stands ...
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© 2025 Scienmag - Science Magazine