Zhengzhou
China
Henan Agricultural University
Temperature, Atmospheric water demand, Well-watered wheat, Wheat yield modeling, IWIN dataset.
Wheat, Gluten type, Feature Selection, Data transformation, Machine learning
winter wheat, nitrogen use efficiency, UAV remote sensing, machine learning, multi-source feature
winter wheat, radiation use efficiency, multi-angular remote sensing, photochemical reflectance index, contrasting water and nitrogen
Wheat, Booting stage, Low-temperature stress, Yield, Physiological characters
Winter wheat, nitrogen use efficiency, UAV remote sensing, machine learning, multi-source feature