AI and Smart Sensors Are Rewriting the Rules of Crop Pest Detection
A new review synthesises how artificial intelligence, deep learning, and Internet of Things architectures are transforming automated crop pest detection ...
A new review synthesises how artificial intelligence, deep learning, and Internet of Things architectures are transforming automated crop pest detection ...
A year-long study of a rural Spanish energy community found that simple machine learning models statistically outperformed deep learning at ...
Researchers have developed a spatial-temporal graph attention network that lets scattered smart devices collaborate as an ad-hoc microphone array, cutting ...
A sub-$200 edge device that fuses hive video, audio, and environmental data has cut varroa mite false alarms from 27 ...
Researchers in Taiwan have combined drone-mounted cameras, the YOLOv8 detector and 5G transmission to identify cracked and detached building tiles ...
A new deep learning framework called DeepGATE reads analog gas meter dials from camera images in real time, improving measurement ...
Researchers have built SEFlow, a single neural network that can be dynamically sliced into subnetworks of vastly different sizes to ...
Researchers at Fujian Agriculture and Forestry University have developed GDE-YOLO, a lightweight deep learning model that detects tea leaf diseases ...
A systematic review of 80 peer-reviewed studies reveals that AI, especially deep reinforcement learning, is rapidly transforming how serverless cloud ...
Researchers have developed LightViT-AD, a compact vision transformer framework that detects anomalies in aerial imagery in real time on drone ...
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© 2026 Scienmag - Science Magazine