Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image. - Lin Yuan; Jingcheng Zhang; Yeyin Shi; Chenwei Nie; Liguang Wei; Jihua Wang (Remote. Sens., 2014)

Improvement of a ground-LiDAR-based corn plant population and spacing measurement system. - Yeyin Shi; N. Wang; R. K. Taylor; W. R. Raun (Comput. Electron. Agric., 2015)

Field detection of anthracnose crown rot in strawberry using spectroscopy technology. - Jinzhu Lu; Reza Ehsani; Yeyin Shi; Jaafar Abdulridha; Ana I. de Castro; Yunjun Xu (Comput. Electron. Agric., 2017)

Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras. - Jian Zhang 012; Chenghai Yang; Biquan Zhao; Huaibo Song; Wesley Clint Hoffmann; Yeyin Shi; Dongyan Zhang 001; Guozhong Zhang (Remote. Sens., 2017)

Mapping wheat rust based on high spatial resolution satellite imagery. - Dongmei Chen; Yeyin Shi; Wenjiang Huang; Jingcheng Zhang; Kaihua Wu (Comput. Electron. Agric., 2018)

Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification. - Xiaoyang Zhao; Jian Zhang 012; Chenghai Yang; Huaibo Song; Yeyin Shi; Xingen Zhou; Dongyan Zhang 001; Guozhong Zhang (Remote. Sens., 2018)

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)

Vertical distribution and vortex structure of rotor wind field under the influence of rice canopy. - Jiyu Li; Yeyin Shi; Yubin Lan; Shuang Guo (Comput. Electron. Agric., 2019)

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)

Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery. - Yan Pang; Yeyin Shi; Shancheng Gao; Feng Jiang; Arun Narenthiran Veeranampalayam Sivakumar; Laura Thompson; Joe D. Luck; Chao Liu 037 (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)

Maize Tassel Detection From UAV Imagery Using Deep Learning. - Aziza Alzadjali; Mohammed H. Alali; Arun Narenthiran Veeranampalayam Sivakumar; Jitender S. Deogun; Stephen Scott 001; James C. Schnable; Yeyin Shi (Frontiers Robotics AI, 2021)

UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions. - Ana I. de Castro; Yeyin Shi; Joe Mari Maja; José M. Peña 003 (Remote. Sens., 2021)

Early Detection of Encroaching Woody Juniperus virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms. - Lin Wang 072; Yuzhen Zhou; Qiao Hu; Zhenghong Tang; Yufeng Ge; Adam Smith; Tala Awada; Yeyin Shi (Remote. Sens., 2021)

Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things. - Chong Yu; Shuaiqi Shen; Kuan Zhang 001; Hai Zhao 002; Yeyin Shi (WCNC, 2022)

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing. - Tianyi Wang; Xiaohan Mei; J. Alex Thomasson; Chenghai Yang; Xiongzhe Han; Pappu Kumar Yadav; Yeyin Shi (Comput. Electron. Agric., 2022)

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)

A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments. - Weiyue Xu; Tao Xu; J. Alex Thomasson; Wei Chen; Raghupathy Karthikeyan; Guangzhao Tian; Yeyin Shi; Changying Ji; Qiong Su (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)

Scalable machine learning framework for adaptive irrigation management of maize and soybean in the U.S. Midwest. - Precious N. Amori; Derek M. Heeren; Yeyin Shi; Eric Wilkening; Ivo Z. Goncalves; Guillermo R. Balboa; Daran R. Rudnick; Abia Katimbo; Randall S. Ritzema (Comput. Electron. Agric., 2025)

Towards real-time weed detection and segmentation with lightweight CNN models on edge devices. - Md Didarul Islam; Wenxin Liu; Pascal Izere; Puranjit Singh; Chong Yu; Benjamin Riggan; Kuan Zhang 001; Amit J. Jhala; Stevan Knezevic; Yufeng Ge; Santosh K. Pitla; Joe D. Luck; et al. (Comput. Electron. Agric., 2025)

Forage biomass estimation using UAV-based remote sensing and machine learning: A tool for assessing management practices. - Biquan Zhao; Jeremy Hiller; Tala Awada; Brian Wardlow; Galen Erickson; Yeyin Shi (Ecol. Informatics, 2025)