Fei Li

Latest

Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing
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 performance of plant nitrogen assessment in drip-irrigated potatoes using optimized spectral indices-based machine learning
Improving the transferability of potato nitrogen concentration estimation models based on hybrid feature selection and Gaussian process regression
NTRI: A novel spectral index for developing a precise nitrogen diagnosis model across pre- and post-anthesis stages of maize plants
Exploring the optimal wavelet function and wavelet feature for estimating maize leaf chlorophyll content
Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models
Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency
Special Issue: Remote Sensing for Crop Nutrients and Related Traits
Detection of combined frost and drought stress in wheat using hyperspectral and chlorophyll fluorescence imaging
Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring
Meta-analysis assessing potential of drone remote sensing in estimating plant traits related to nitrogen use efficiency
Multi-temporal UAV Imaging-Based Mapping of Chlorophyll Content in Potato Crop
Characterization of N distribution in different organs of winter wheat using UAV-based remote sensing
Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices
Hyperspectral indices optimization algorithms for estimating canopy nitrogen concentration in potato (Solanum tuberosum L.)