AI Learns to Diagnose Grapevine Diseases Like a Plant Pathologist
Researchers in Vietnam have built a hybrid vision-language AI that diagnoses grapevine diseases with 98.7 percent accuracy while explaining its ...
Researchers in Vietnam have built a hybrid vision-language AI that diagnoses grapevine diseases with 98.7 percent accuracy while explaining its ...
Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...
A five-season study shows that GNSS distance data from ordinary baling machinery can predict how many bales remain in a ...
A sweeping review finds that intercropping, agroforestry, and crop rotation can rebuild degraded soils, cut pest pressure by up to ...
Virginia Tech researchers have developed a low-cost electrochemical sensor that detects Sclerotinia blight in peanut plants within five days of ...
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
A systematic study shows that carefully engineered synthetic orchard imagery, refined to match real annotation geometry and mixed with a ...
A nationwide survey of 213 soils finds that pH, carbon-nitrogen stocks, and threshold-dependent micronutrient availability, rather than microbial diversity, control ...
Researchers at ETH Zürich analyzed 16,650 high-resolution field images to show how focus bracketing, dense spatial sampling, and Beta-distribution modeling ...
A new deep learning framework reconstructs invisible Red Edge and near-infrared bands from ordinary RGB drone imagery, bringing multispectral crop ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine