AI That Sees and Senses: Multimodal System Diagnoses Maize Disease and Tells Farmers What to Do
A multimodal AI framework combining maize leaf image analysis, NASA weather data, and large language models achieved 94 percent diagnostic ...
A multimodal AI framework combining maize leaf image analysis, NASA weather data, and large language models achieved 94 percent diagnostic ...
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 ...
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© 2025 Scienmag - Science Magazine