Tiny AI Model Reads Diseased Crop Leaves With Big-Model Accuracy and Explains Itself
A 79,717-parameter attention-fused neural network called LeafXNet matches or beats far larger deep learning models at detecting watermelon, grape, and ...
A 79,717-parameter attention-fused neural network called LeafXNet matches or beats far larger deep learning models at detecting watermelon, grape, and ...
A Nature Food study combining county records, farmer surveys and thousands of field experiments finds that crop- and region-specific irrigation ...
A new review integrates contaminant monitoring, quantitative risk assessment, and AI-assisted governance into a unified framework for safe agricultural wastewater ...
A BMJ commentary argues that localized food shortages persist amid conflict and climate hazards and calls for coordinated changes across ...
A national satellite study estimated that Lebanon’s wheat area ranged from 27,212 to 69,194 hectares across 2017–2025, with sharp contractions ...
A mini review finds that digital agriculture can improve productivity, market access, food stability and utilization, but uneven infrastructure, skills, ...
A review of 62 sources links Southern African indigenous knowledge systems with the persistence of some livestock traits and favourable ...
A 2025 review finds that agricultural contaminants disrupt soil microbial networks and plant nutrient uptake while identifying promising but incompletely ...
A proposed digital commons would combine crop modeling, maize genetics and federated learning to support climate-resilient breeding while allowing research ...
A systematic review identified nine research themes linking tribal development with the Sustainable Development Goals and proposed an integrated framework ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine