Dynamic Graph Attention Network Improves Soil Moisture Forecasting in Karnataka
A dynamic graph attention neural network achieved an RMSE of 0.022 m³/m³ when forecasting soil moisture in Karnataka, India, outperforming ...
A dynamic graph attention neural network achieved an RMSE of 0.022 m³/m³ when forecasting soil moisture in Karnataka, India, outperforming ...
An integrated machine-learning framework using XGBoost achieved 99.94 percent accuracy in classifying sorghum yields and modeled potential conflict-related crop losses ...
A three-year field experiment on the Qinghai–Xizang Plateau found that a stocking rate of about 8 sheep per hectare was ...
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© 2026 Scienmag - Science Magazine