Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS. - Wenan Yuan; Jiating Li; Madhav Bhatta; Yeyin Shi; P. Stephen Baenziger; Yufeng Ge (Sensors, 2018)

Improving model robustness for soybean iron deficiency chlorosis rating by unsupervised pre-training on unmanned aircraft system derived images. - Jiating Li; Cody Oswald; George L. Graef; Yeyin Shi (Comput. Electron. Agric., 2020)

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery. - Arun Narenthiran Veeranampalayam Sivakumar; Jiating Li; Stephen Scott 001; Eric Psota; Amit J. Jhala; Joe D. Luck; Yeyin Shi (Remote. Sens., 2020)

Combinatorial model based on extreme learning machine for network traffic prediction. - Jiating Li; Juan Zou; Hu Sheng; Yichen Wang; Youkang Chen (ICMLCA, 2023)

Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning model. - Jiating Li; Nuwan Wijewardane; Yufeng Ge; Yeyin Shi (Comput. Electron. Agric., 2023)

Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content. - Jiating Li; Yufeng Ge; Laila A. Puntel; Derek M. Heeren; Geng Bai; Guillermo R. Balboa; John A. Gamon; Timothy J. Arkebauer; Yeyin Shi (Int. J. Appl. Earth Obs. Geoinformation, 2024)