Hyperspectral Sensor and AI Detect Soybean Diseases Before the Eye Can
Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...
Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...
A new event-based machine learning approach reframes vineyard mildew forecasting as the prediction of disease-risk episodes rather than daily status ...
A Nature Food Perspective drawing on a workshop series of more than 150 stakeholders proposes a land-grant university-led Agricultural Cybersecurity ...
University of Arkansas researchers have developed a training-free, UAV-based adaptive sprayer that uses HSV vegetation segmentation and a weed-free soybean ...
A new review in the Journal of Nanoparticle Research details how nanoemulsions, nanocarriers, and nano-coatings could overcome the environmental fragility ...
A leakage-aware artificial intelligence framework trained on six seasons of commercial farm data forecasts daily strawberry yields with a pretrained ...
Researchers in South Dakota combined drone multispectral imagery with an attention-enhanced deep learning model to estimate wheat tiller density with ...
The University of Tennessee AgResearch has appointed 30-year veteran Jason Williams as permanent director of the AgResearch and Education Center ...
Researchers in Beijing built a 27-sensor deep learning system that predicts and reconstructs three-dimensional temperature and humidity fields inside solar ...
A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...
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© 2025 Scienmag - Science Magazine