Hang Yin

Drone RGB Imagery Color and Texture Information Have Varied Importance in Predicting Potato Aboveground Biomass in Different Growth Stages
Improving potato leaf chlorophyll content prediction using a machine learning model with a hybrid dataset
Improving the transferability of potato nitrogen concentration estimation models based on hybrid feature selection and Gaussian process regression
Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models
Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring
Multi-temporal UAV Imaging-Based Mapping of Chlorophyll Content in Potato Crop

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