AI With Double Attention Sharpens Drought Forecasts Across China
Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...
Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...
A global satellite-based analysis finds that croplands converted from wetlands since 2000 contribute only 0.1 percent of world crop production ...
Integrated modelling of Ireland's land sector shows that circular economy measures modestly cut emissions but substantially strengthen the resilience of ...
A new study combining Landsat imagery and neural network modeling shows that Fiche Town in central Ethiopia more than doubled ...
A Zimbabwean field trial shows that the floating fern Azolla pinnata can replace 15 to 20 percent of fishmeal in ...
A systematic review of 327 studies across 64 countries finds that informal food vendors sustain food security for over a ...
A multimodal AI framework combining maize leaf image analysis, NASA weather data, and large language models achieved 94 percent diagnostic ...
A new review argues that induced mutagenesis, integrated with genomics and high-throughput phenotyping, could overcome the narrow genetic base of ...
Empirical modelling of northern Ghana projects crop yield losses of 25 to 60 percent by 2050 as rising temperatures and ...
Using Sentinel-1 radar imagery and Indonesia's official paddy field registry, researchers found that rare equatorial Tropical Cyclone Senyar flooded over ...
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© 2025 Scienmag - Science Magazine