Vision transformer identifies coffee leaf nutrient deficiencies and treatment rules
A controlled study of 1,196 coffee leaf images found that an explainable Vision Transformer classified nutrient deficiencies with up to ...
A controlled study of 1,196 coffee leaf images found that an explainable Vision Transformer classified nutrient deficiencies with up to ...
A hybrid deep-learning model classified 32 insect species from 4,800 recordings with 99.90% accuracy on the InsectSet32 dataset, but independent ...
A PRISMA-based review identifies scale, data, hardware and connectivity barriers limiting machine learning and remote sensing for Ethiopia’s smallholder farmers.
A hybrid DeiT system reached 99.13% accuracy on a 38-class plant disease benchmark while combining local and global AI explanations ...
A comparative study of sugar beet and maize seedling imagery found that a custom CNN outperformed classical classifiers, while U-Net ...
A CNN that fuses shallow and deep lesion features classified rice blast severity with about 93% accuracy and estimated the ...
A two-flight UAV framework combining pre-season bare-soil imagery with pod-filling canopy indices modestly improved field-scale soybean yield prediction in Northeast ...
Researchers in Meghalaya, India, field-tested an Android app that predicts strawberry plant nitrogen status from smartphone leaf photos and converts ...
A hybrid ConvNeXt and Random Walk Grey Wolf Optimizer framework classified six categories of cotton leaf conditions with 98.39% accuracy ...
Researchers report a lightweight YOLOv10n-based detector that cuts model size and computation by roughly a third while maintaining near-baseline accuracy ...
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© 2025 Scienmag - Science Magazine