Qualifications of Rice Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery. - Zhengchao Qiu; Haitao Xiang; Fei Ma; Changwen Du (Remote. Sens., 2020)

Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms. - Zhengchao Qiu; Fei Ma; Zhenwang Li; Xuebin Xu; Haixiao Ge; Changwen Du (Comput. Electron. Agric., 2021)

A method combining FTIR-ATR and Raman spectroscopy to determine soil organic matter: Improvement of prediction accuracy using competitive adaptive reweighted sampling (CARS). - Zhe Xing; Changwen Du; Yazhen Shen; Fei Ma; Jianmin Zhou (Comput. Electron. Agric., 2021)

Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of Machine Learning Based on UAV-RGB Imagery. - Haixiao Ge; Fei Ma; Zhenwang Li; Zhengzheng Tan; Changwen Du (Remote. Sens., 2021)

Estimating Plant Nitrogen Concentration of Rice through Fusing Vegetation Indices and Color Moments Derived from UAV-RGB Images. - Haixiao Ge; Haitao Xiang; Fei Ma; Zhenwang Li; Zhengchao Qiu; Zhengzheng Tan; Changwen Du (Remote. Sens., 2021)

Applying convolutional neural networks (CNN) for end-to-end soil analysis based on laser-induced breakdown spectroscopy (LIBS) with less spectral preprocessing. - Xuebin Xu; Fei Ma; Jianmin Zhou; Changwen Du (Comput. Electron. Agric., 2022)

Development of Prediction Models for Estimating Key Rice Growth Variables Using Visible and NIR Images from Unmanned Aerial Systems. - Zhengchao Qiu; Fei Ma; Zhenwang Li; Xuebin Xu; Changwen Du (Remote. Sens., 2022)

Sensing of Soil Organic Matter Using Laser-Induced Breakdown Spectroscopy Coupled with Optimized Self-Adaptive Calibration Strategy. - Mengjin Hu; Fei Ma; Zhenwang Li; Xuebin Xu; Changwen Du (Sensors, 2022)

A Framework for High-Resolution Mapping of Soil Organic Matter (SOM) by the Integration of Fourier Mid-Infrared Attenuation Total Reflectance Spectroscopy (FTIR-ATR), Sentinel-2 Images, and DEM Derivatives. - Xuebin Xu; Changwen Du; Fei Ma; Zhengchao Qiu; Jianmin Zhou (Remote. Sens., 2023)