Fused UAV data improve winter wheat biomass estimates in two-season field study
A two-season Chinese field study found that fused UAV spectral, texture, LiDAR and temporal features with random forest produced the ...
A two-season Chinese field study found that fused UAV spectral, texture, LiDAR and temporal features with random forest produced the ...
German researchers show that manually created vertical macropores help crop roots bypass compacted subsoil, boosting grain yields by up to ...
A four-year field trial on China's Loess Plateau shows that replacing a quarter of chemical nitrogen with pig manure outperforms ...
A year of continuous eddy covariance measurements and explainable machine learning above a Swiss winter wheat field shows that nitrous ...
A three-year field study in the North China Plain identifies optimal irrigation and nitrogen ranges that simultaneously raise grain yield, ...
A landmark field study finds that dark septate endophytes colonize winter wheat roots more extensively than arbuscular mycorrhizal fungi across ...
A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...
A hybrid multi-objective optimization framework combining light simulation, response surface modeling and evolutionary algorithms has identified agrivoltaic array layouts that ...
Researchers have developed CropFusionNet, an interpretable deep learning framework that forecasts wheat, barley, and maize yields across Germany with benchmark-beating ...
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© 2025 Scienmag - Science Magazine