Drones and Sensors Cut Water Use and Boost Quality in Tomatoes and Grapes
A new study in Plants, People, Planet shows that sensor-based irrigation and drone monitoring saved up to 15 percent of ...
A new study in Plants, People, Planet shows that sensor-based irrigation and drone monitoring saved up to 15 percent of ...
A multi-task deep learning framework can estimate more than a dozen crop photosynthetic traits simultaneously from hyperspectral images with record ...
Researchers in Germany combined hyperspectral imaging with a compact 1D convolutional neural network to detect strawberry powdery mildew under real ...
A three-camera ground robot with a custom multi-RGBD SLAM framework now maps mature maize fields in real time, achieving 100 ...
Researchers have developed a Sichuan pepper picking robot that combines multi-task visual perception, PCA-based pose estimation, and a flexible swallowing ...
A new study shows that a low-cost 3D multispectral sensor combined with machine learning can classify rice bacterial blight severity ...
Researchers have unveiled a weakly supervised AI framework that segments crops, weeds and soil from image-level labels alone, achieving 76.04 ...
A field-validated system combining drone multispectral imaging, explainable XGBoost AI, and edge-controlled variable-rate application cut nitrogen fertilizer use by 21.8 ...
A new review explains why biostimulants that shine in the greenhouse so often fail in cereal fields and maps out ...
Researchers compressed transformer-based tabular neural networks by up to 38-fold using knowledge distillation and deployed them on an NVIDIA Jetson ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine