Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat. - Jörg Peter Baresel; Pablo Rischbeck; Yuncai Hu; Sebastian Kipp; Gero Barmeier; Bodo Mistele; Urs Schmidhalter (Comput. Electron. Agric., 2017)

Passive reflectance sensing using optimized two- and three-band spectral indices for quantifying the total nitrogen yield of maize. - Hasituya; Fei Li; Salah Elsayed; Yuncai Hu; Urs Schmidhalter (Comput. Electron. Agric., 2020)

Advancing High-Throughput Phenotyping of Wheat in Early Selection Cycles. - Yuncai Hu; Samuel Knapp; Urs Schmidhalter (Remote. Sens., 2020)

Hyperspectral indices optimization algorithms for estimating canopy nitrogen concentration in potato (Solanum tuberosum L.). - Haibo Yang; Fei Li; Yuncai Hu; Kang Yu (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models. - Hang Yin; Fei Li; Haibo Yang; Yunfei Di; Yuncai Hu; Kang Yu (Remote. Sens., 2024)

Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency. - Jingcheng Zhang; Yuncai Hu; Fei Li; Kadeghe G. Fue; Kang Yu (Remote. Sens., 2024)

Exploring the Optimal Wavelet Function and Wavelet Feature for Estimating Maize Leaf Chlorophyll Content. - Yuzhe Tang; Fei Li; Yuncai Hu; Kang Yu (IEEE Trans. Geosci. Remote. Sens., 2025)