Improvement of chlorophyll content estimation on maize leaf by vein removal in hyperspectral image. - Dehua Gao; Minzan Li; Junyi Zhang 006; Di Song 002; Hong Sun; Lang Qiao; Ruomei Zhao (Comput. Electron. Agric., 2021)

Chlorophyll content estimation based on cascade spectral optimizations of interval and wavelength characteristics. - Di Song 002; Dehua Gao; Hong Sun; Lang Qiao; Ruomei Zhao; Weijie Tang; Minzan Li (Comput. Electron. Agric., 2021)

Development of crop chlorophyll detector based on a type of interference filter optical sensor. - Di Song 002; Lang Qiao; Dehua Gao; Song Li; Minzan Li; Hong Sun; Junyong Ma (Comput. Electron. Agric., 2021)

Diagnosis of maize chlorophyll content based on hybrid preprocessing and wavelengths optimization. - Dehua Gao; Lang Qiao; Lulu An; Hong Sun; Minzan Li; Ruomei Zhao; Weijie Tang; Di Song 002 (Comput. Electron. Agric., 2022)

UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages. - Lang Qiao; Weijie Tang; Dehua Gao; Ruomei Zhao; Lulu An; Minzan Li; Hong Sun; Di Song 002 (Comput. Electron. Agric., 2022)

Biomass prediction based on hyperspectral images of the Arabidopsis canopy. - Di Song 002; Kithmee De Silva; Matthew D. Brooks; Mohammed Kamruzzaman (Comput. Electron. Agric., 2023)

Multispectral image reconstruction from RGB image for maize growth status monitoring based on window-adaptive spatial-spectral attention transformer. - Di Song 002; Hong Sun; Esther Ngumbi; Mohammed Kamruzzaman (Comput. Electron. Agric., 2025)