Mingchao Shao
Ministry of Agriculture(ID)Ministry of Agriculture(FJ)
Publications by Year
Research Areas
Remote Sensing in Agriculture, Smart Agriculture and AI, Leaf Properties and Growth Measurement, Remote Sensing and LiDAR Applications, Spectroscopy and Chemometric Analyses
Most-Cited Works
- → Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning(2022)154 cited
- → Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms(2021)149 cited
- → Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation(2021)86 cited
- → Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model(2022)42 cited
- → A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery(2022)40 cited
- → Estimation of soybean yield parameters under lodging conditions using RGB information from unmanned aerial vehicles(2022)27 cited
- → Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods(2023)27 cited
- → Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm(2021)24 cited
- → Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images(2023)20 cited
- → Detection and Analysis of Degree of Maize Lodging Using UAV-RGB Image Multi-Feature Factors and Various Classification Methods(2021)19 cited