Puyu Feng

Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

Puyu Feng, Bin Wang, De Li Liu et al. · Agricultural Systems · 2019 · 228 citations

Precision Agriculture, Environmental Monitoring, Agricultural Drought +14

Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia

Puyu Feng, Bin Wang, De Li Liu et al. · Agricultural and Forest Meteorology · 2019 · 219 citations

Climatology, Precision Agriculture, Engineering +9

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

Puyu Feng, Bin Wang, De Li Liu et al. · Agricultural and Forest Meteorology · 2020 · 219 citations

Forecasting Methodology, Precision Agriculture, Machine Learning Technique +10

Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios

Dengpan Xiao, De Li Liu, Bin Wang et al. · Agricultural Water Management · 2020 · 217 citations

Engineering, Climate Smart Practice, Drought +11

Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs

Ning Yao, Linchao Li, Puyu Feng et al. · The Science of The Total Environment · 2019 · 190 citations

Hydrometeorology, Meteorology, Climatology +11