AI That Sees and Senses: Multimodal System Diagnoses Maize Disease and Tells Farmers What to Do
A multimodal AI framework combining maize leaf image analysis, NASA weather data, and large language models achieved 94 percent diagnostic ...
A multimodal AI framework combining maize leaf image analysis, NASA weather data, and large language models achieved 94 percent diagnostic ...
A comprehensive review finds that AI, IoT sensors, remote sensing and precision fertilisation can dramatically raise nitrogen use efficiency, yield ...
A five-season study shows that GNSS distance data from ordinary baling machinery can predict how many bales remain in a ...
Researchers have built an AI framework that converts cheap RGB photos of oil palm leaves into 31-band hyperspectral cubes, using ...
Researchers in Germany combined hyperspectral imaging with a compact 1D convolutional neural network to detect strawberry powdery mildew under real ...
A benchmark of seventeen commercial soil moisture sensors across three soil types finds that mid-range FDR probes deliver the best ...
A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...
A field trial in Bangladesh found that an IoT-enabled sensor-driven drip irrigation system matched traditional eggplant yields while cutting water ...
A new bibliometric analysis of 657 publications shows digital twin technology in agriculture has surged since 2018, with China and ...
Researchers at Fujian Agriculture and Forestry University have developed GDE-YOLO, a lightweight deep learning model that detects tea leaf diseases ...
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© 2025 Scienmag - Science Magazine