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Yeyin Shi
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2020 – today
- 2023
- [j17]Jiating Li
, Nuwan Wijewardane
, Yufeng Ge, Yeyin Shi
:
Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning model. Comput. Electron. Agric. 206: 107669 (2023) - [j16]Weiyue Xu
, Tao Xu, J. Alex Thomasson, Wei Chen, Raghupathy Karthikeyan, Guangzhao Tian, Yeyin Shi, Changying Ji, Qiong Su
:
A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments. Comput. Electron. Agric. 211: 107961 (2023) - 2022
- [j15]Tianyi Wang
, Xiaohan Mei, J. Alex Thomasson, Chenghai Yang, Xiongzhe Han, Pappu Kumar Yadav, Yeyin Shi:
GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing. Comput. Electron. Agric. 193: 106629 (2022) - [c1]Chong Yu
, Shuaiqi Shen, Kuan Zhang, Hai Zhao, Yeyin Shi
:
Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things. WCNC 2022: 1140-1145 - 2021
- [j14]Aziza Alzadjali, Mohammed H. Alali, Arun Narenthiran Veeranampalayam Sivakumar, Jitender S. Deogun, Stephen Scott, James C. Schnable, Yeyin Shi
:
Maize Tassel Detection From UAV Imagery Using Deep Learning. Frontiers Robotics AI 8: 600410 (2021) - [j13]Lin Wang
, Yuzhen Zhou, Qiao Hu, Zhenghong Tang, Yufeng Ge, Adam Smith, Tala Awada, Yeyin Shi
:
Early Detection of Encroaching Woody Juniperus virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms. Remote. Sens. 13(10): 1975 (2021) - [j12]Ana I. de Castro
, Yeyin Shi
, Joe Mari Maja, José M. Peña:
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions. Remote. Sens. 13(11): 2139 (2021) - 2020
- [j11]Jiating Li, Cody Oswald, George L. Graef, Yeyin Shi
:
Improving model robustness for soybean iron deficiency chlorosis rating by unsupervised pre-training on unmanned aircraft system derived images. Comput. Electron. Agric. 175: 105557 (2020) - [j10]Yan Pang
, Yeyin Shi
, Shancheng Gao, Feng Jiang, Arun Narenthiran Veeranampalayam Sivakumar, Laura Thompson, Joe D. Luck, Chao Liu:
Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery. Comput. Electron. Agric. 178: 105766 (2020) - [j9]Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li
, Stephen Scott, Eric Psota
, Amit J. Jhala
, Joe D. Luck
, Yeyin Shi
:
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery. Remote. Sens. 12(13): 2136 (2020)
2010 – 2019
- 2019
- [j8]Jiyu Li
, Yeyin Shi
, Yubin Lan, Shuang Guo:
Vertical distribution and vortex structure of rotor wind field under the influence of rice canopy. Comput. Electron. Agric. 159: 140-146 (2019) - 2018
- [j7]Dongmei Chen, Yeyin Shi
, Wenjiang Huang, Jingcheng Zhang, Kaihua Wu:
Mapping wheat rust based on high spatial resolution satellite imagery. Comput. Electron. Agric. 152: 109-116 (2018) - [j6]Xiaoyang Zhao, Jian Zhang
, Chenghai Yang, Huaibo Song, Yeyin Shi
, Xingen Zhou, Dongyan Zhang, Guozhong Zhang:
Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification. Remote. Sens. 10(5): 663 (2018) - [j5]Wenan Yuan
, Jiating Li, Madhav Bhatta
, Yeyin Shi
, P. Stephen Baenziger
, Yufeng Ge:
Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS. Sensors 18(11): 3731 (2018) - 2017
- [j4]Jinzhu Lu, Reza Ehsani, Yeyin Shi, Jaafar Abdulridha, Ana I. de Castro, Yunjun Xu:
Field detection of anthracnose crown rot in strawberry using spectroscopy technology. Comput. Electron. Agric. 135: 289-299 (2017) - [j3]Jian Zhang
, Chenghai Yang, Biquan Zhao, Huaibo Song, Wesley Clint Hoffmann, Yeyin Shi
, Dongyan Zhang, Guozhong Zhang:
Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras. Remote. Sens. 9(10): 1054 (2017) - 2015
- [j2]Yeyin Shi
, N. Wang, R. K. Taylor, W. R. Raun:
Improvement of a ground-LiDAR-based corn plant population and spacing measurement system. Comput. Electron. Agric. 112: 92-101 (2015) - 2014
- [j1]Lin Yuan, Jingcheng Zhang, Yeyin Shi
, Chenwei Nie, Liguang Wei, Jihua Wang:
Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image. Remote. Sens. 6(5): 3611-3623 (2014)
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