Thermal cut-off, not throttling, decides whether edge AI survives a durian orchard
A study of a Raspberry Pi 5 durian disease detector finds that dataset leakage, silent validation failures and software thermal ...
A study of a Raspberry Pi 5 durian disease detector finds that dataset leakage, silent validation failures and software thermal ...
Researchers have built an integrated AI framework that diagnoses corn leaf diseases in real time on a smartphone and forecasts ...
A new review synthesises how artificial intelligence, deep learning, and Internet of Things architectures are transforming automated crop pest detection ...
A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...
Researchers at Anhui Agricultural University have developed DE-TabNet, a semi-supervised AI model that detects sensor faults in smart drip irrigation ...
Researchers have developed an attention-enhanced YOLOv8n-CBAM deep learning model that detects red palm weevils in pheromone trap images with high ...
A field trial in Bangladesh found that an IoT-enabled sensor-driven drip irrigation system matched traditional eggplant yields while cutting water ...
Chinese researchers have built an autonomous greenhouse robot that navigates seedling aisles with LiDAR, verifies leaf coverage in real time, ...
Researchers have developed a U-Net-based segmentation network that recovers high-frequency image details lost during downsampling, achieving record accuracy in segmenting ...
A new bibliometric analysis of 657 publications shows digital twin technology in agriculture has surged since 2018, with China and ...
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© 2025 Scienmag - Science Magazine