Graph-Based AI Model Predicts Potato Crop Water Needs with High Accuracy in Canada
A probabilistic dynamic graph deep learning model developed on Prince Edward Island predicted potato crop coefficients with R² values up ...
A probabilistic dynamic graph deep learning model developed on Prince Edward Island predicted potato crop coefficients with R² values up ...
Two-year field trials in coastal Bangladesh found that alternate wetting and drying conserved irrigation water and improved water productivity, but ...
Machine learning algorithms autonomously designed, ran, and evaluated 3,407 groundwater model scenarios to optimize water supply projects in California's critically ...
An integrated AI and health-risk study of Algeria's Annaba coastal aquifer finds that rising per capita income and tourism, not ...
Researchers at IIT Bombay and IIT Ropar have coupled the MODFLOW groundwater simulator with machine learning algorithms to correct systematic ...
Researchers show that timing paddy drainage to rice's peak cadmium uptake periods boosts metal extraction nearly eightfold, achieving 37.50 percent ...
A new PLOS Water review maps the current state of Australian flash drought research, identifying critical gaps and the role ...
A two-year field study in Xinjiang shows that moderate, multi-stage drip leaching nearly doubled cotton lint yield on saline-alkali soil ...
A new PLOS Water study combines Sentinel-2 satellite data, OpenET evapotranspiration estimates, and unsupervised machine learning to reveal 13 distinct ...
Researchers have compiled and field-validated the most complete harmonized dataset of dams and reservoirs in West Africa, revealing systematic gaps ...
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© 2025 Scienmag - Science Magazine