Jiating Li - researchr alias

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Viewing Publication 1 - 7 from 7

2026

PRSGNet: A robust framework for crop row detection in complex field scenariosDengbin Fu, Yinghu Cai, Zhanpeng Liang, Zhenyu Tang, Zhiqiang Yao, Hao Gong, Renjun Hu, Jiating Li, Long Qi. cea, 241:111284, 2026. [doi]

2024

Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen contentJiating Li, Yufeng Ge, Laila A. Puntel, Derek M. Heeren, Geng Bai, Guillermo R. Balboa, John A. Gamon, Timothy J. Arkebauer, Yeyin Shi. aeog, 129:103817, 2024. [doi]

2023

Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning modelJiating Li, Nuwan Wijewardane, Yufeng Ge, Yeyin Shi. cea, 206:107669, March 2023. [doi]

Combinatorial model based on extreme learning machine for network traffic predictionJiating Li, Juan Zou, Hu Sheng, Yichen Wang, Youkang Chen. icmlca 2023: 1-4 [doi]

2020

Improving model robustness for soybean iron deficiency chlorosis rating by unsupervised pre-training on unmanned aircraft system derived imagesJiating Li, Cody Oswald, George L. Graef, Yeyin Shi. cea, 175:105557, 2020. [doi]

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV ImageryArun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi. remotesensing, 12(13):2136, 2020. [doi]

2018

Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UASWenan Yuan, Jiating Li, Madhav Bhatta, Yeyin Shi, P. Stephen Baenziger, Yufeng Ge. sensors, 18(11):3731, 2018. [doi]

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