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 ...
A high-throughput phenotyping study shows that mixtures of arbuscular mycorrhizal fungi produce additive, synergistic, and antagonistic effects on tomato growth ...
Researchers in China have sequenced two endophytic fungi from maize that suppress southern corn rust by up to 87.9 percent ...
Researchers at ETH Zürich analyzed 16,650 high-resolution field images to show how focus bracketing, dense spatial sampling, and Beta-distribution modeling ...
Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99 ...
Researchers in India have built a tri-backbone deep learning system with an intuitionistic fuzzy fusion module that classifies apple leaf ...
A new review in Discover Biotechnology details how biosynthesized nanoparticles could deliver nutrients, detect disease and fight pests while making ...
A two-decade study of wheat powdery mildew in the Himalayas documents a selective sweep toward fewer, more aggressive pathogen lineages ...
A new deep learning network called MHISR reconstructs sharp microscopic hyperspectral images, enabling researchers to quantify rice disease resistance through ...
New multi-location research in India shows that eggplant resistance to bacterial wilt can flip between regions, while genetic analysis reveals ...
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© 2025 Scienmag - Science Magazine