Yeyin Shi

According to our database, Yeyin Shi authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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., August, 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., March, 2023

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

Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things.

Chong Yu, Shuaiqi Shen, Kuan Zhang, Hai Zhao, Yeyin Shi

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2021

Early Detection of Encroaching Woody Juniperus virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms.

Lin Wang, Yuzhen Zhou, Qiao Hu, Zhenghong Tang, Yufeng Ge, Adam Smith, Tala Awada, Yeyin Shi

Remote. Sens., 2021

UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions.

Ana I. de Castro, Yeyin Shi, Joe Mari Maja, José M. Peña

Remote. Sens., 2021

Maize Tassel Detection From UAV Imagery Using Deep Learning.

Aziza Alzadjali, Mohammed H. Alali, Arun Narenthiran Veeranampalayam Sivakumar, Jitender S. Deogun, Stephen Scott, James C. Schnable, Yeyin Shi

Frontiers Robotics AI, 2021

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, Eric Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi

Remote. Sens., 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

Comput. Electron. Agric., 2020

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

2019

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

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

Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification.

Xiaoyang Zhao, Jian Zhang, Chenghai Yang, Huaibo Song, Yeyin Shi, Xingen Zhou, Dongyan Zhang, Guozhong Zhang

Remote. Sens., 2018

Mapping wheat rust based on high spatial resolution satellite imagery.

Dongmei Chen, Yeyin Shi, Wenjiang Huang, Jingcheng Zhang, Kaihua Wu

Comput. Electron. Agric., 2018

2017

Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras.

Jian Zhang, Chenghai Yang, Biquan Zhao, Huaibo Song, Wesley Clint Hoffmann, Yeyin Shi, Dongyan Zhang, Guozhong Zhang

Remote. Sens., 2017

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

2014

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