A comprehensive scientific review outlines how autonomous multi-agent artificial intelligence systems could transform agricultural research and field management while highlighting ...
A new review proposes an AI-centred framework that integrates data-driven methods, process-based crop models, and manipulation experiments to understand how ...
Clay minerals, ultraviolet radiation and soil burial depth jointly control how biodegradable mulch films degrade, with buried films aging faster ...
Researchers at Ningbo University developed PestFG-RTDETR, a transformer-based detector that improves small pest detection in dense trap-captured images with higher ...
A new review argues that India's water scarcity is intensified by deteriorating water quality and hidden virtual water flows, not ...
A review of 239 studies finds that engineered nanoparticles disrupt Photosystem II, pigment content and RuBisCO activity, with downstream losses ...
A comprehensive review shows that fungal glutamate dehydrogenases act as integrative regulators of nitrogen metabolism, morphogenesis and infection, with inhibitors ...
A new AI framework first localizes individual disease regions in real-field leaf photographs and then applies similarity-aware contrastive learning, reaching ...
A multi-regional input–output study of 31 Chinese provinces finds that major crop-producing regions such as Heilongjiang and Hebei export embodied ...
A self-supervised CNN framework with Grad-CAM heatmaps reached up to 94.38% validation accuracy on a 2,137-image cotton leaf disease dataset.
A survey of 385 river sites in Ningbo, China, found that urban and agricultural land use significantly restructures macroinvertebrate communities ...
A two-year study of three Kenyan highland plots links soil erosion and land management to shifts in bioavailable selenium, while ...
A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...
A mixed-method study in northwest Germany finds farmers back renewable energy mainly for income and independence, but most reject photovoltaics ...
An enhanced RT-DETR-ResNet18 framework raises detection accuracy for camouflaged soybean pests, reaching 77.4% mAP@0.5 across 12 pest categories.
A validated 32-item questionnaire measuring digital transformation capabilities and maturity stages in smallholder farmers has been tested with 68 potato ...
Researchers have validated a colorimetric method that measures urea and ammonium simultaneously in a single KCl extract and applied it ...
Fall armyworm, the voracious caterpillar that has become one of the most destructive pests of maize worldwide, can be pushed ...
A lightweight hybrid transformer model combining wavelet transforms with MobileViT achieved over 99% accuracy in classifying plant diseases across four ...
A new policy brief maps how Europe's farms could serve older adults, urging systematic collaboration between public health and agriculture.
