AI Transformer Hits 98% Accuracy Spotting Jute Pests Before They Devastate Crops
Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy, ...
Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy, ...
Researchers have unveiled an explainable deep learning framework that detects insect crop pests in real time with up to 98 ...
A comprehensive review finds that bioactive compounds from microalgae, cyanobacteria, and seaweeds can kill insects, nematodes, fungi, bacteria, viruses, and ...
A sweeping new review argues that RNA interference could become a cornerstone of sustainable crop protection, but variable pest responses, ...
A new vision–language framework called CLARiF combines diagnostic captioning, part-level segmentation, and retrieval-informed re-ranking to achieve state-of-the-art fine-grained pest recognition ...
A new review highlights how four-stranded G-quadruplex DNA and RNA structures regulate plant stress responses and insect development, and how ...
A 19-year analysis of Ethiopian survey data finds that soil conservation, crop protection and water catchment practices, rather than added ...
A new review in Plant Cell Reports maps how the benzoxazinoid defense pathway evolved differently across maize, wheat, and rice, ...
French researchers found that mandarin peel and coffee bean extracts act synergistically to repel the pea aphid, cutting the effective ...
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