Wolf-Inspired AI Spots Finger Millet Diseases With 98% Accuracy
Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...
Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...
A comprehensive review shows that millets have rapidly acquired the full toolkit of modern crop genomics and CRISPR editing, positioning ...
A field study in western Kenya shows that liming acidic soils significantly increases finger millet yields while reducing soil nitrous ...
A multi-environment study of over 400 finger millet recombinant inbred lines has used AMMI and GGE biplot analysis to identify ...
A transcriptomic study reveals how silicon supplementation reprograms antioxidant defense, carbon metabolism and hormone biosynthesis to help finger millet tolerate ...
A new review maps how microRNA regulatory networks could be engineered to make millets more climate-resilient and nutritionally dense.
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine