Yeyin Shi

发表

Corn plant location, spacing and stalk diameter measurements using optical sensing technologies

Yeyin Shi, 2014 .

Faster R-CNN-based deep learning for locating corn tassels in UAV imagery

Jitender S. Deogun, Stephen D. Scott, Yeyin Shi, 2020, Defense + Commercial Sensing.

Vertical distribution and vortex structure of rotor wind field under the influence of rice canopy

Yubin Lan, Shuang Guo, Yeyin Shi, 2019, Comput. Electron. Agric..

Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery

Joe D. Luck, Chao Liu, Yeyin Shi, 2020, Comput. Electron. Agric..

Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems

John Valasek, James V. Henrickson, Ezekiel Bowden, 2016, SPIE Commercial + Scientific Sensing and Imaging.

Strategies for soil-based precision agriculture in cotton

J. Alex Thomasson, Jeff Olsenholler, John Valasek, 2016, SPIE Commercial + Scientific Sensing and Imaging.

Field detection of anthracnose crown rot in strawberry using spectroscopy technology

Reza Ehsani, Yunjun Xu, Yeyin Shi, 2017, Comput. Electron. Agric..

Automated geographic registration and radiometric correction for UAV-based mosaics

Yeyin Shi, Chao Sima, J. Alex Thomasson, 2017, Commercial + Scientific Sensing and Imaging.

Automatic Wheat Lodging Detection and Mapping in Aerial Imagery to Support High-Throughput Phenotyping and In-Season Crop Management

Yufeng Ge, Yeyin Shi, Jian Zhang, 2020, Agronomy.

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

Chenghai Yang, Jian Zhang, Dongyan Zhang, 2017, Remote. Sens..

Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS

Yufeng Ge, Yeyin Shi, Jiating Li, 2018, Sensors.

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

Chenghai Yang, Jian Zhang, Dongyan Zhang, 2018, Remote. Sens..

Laboratory Evaluation of a Turn Compensation Control System for a Ground Sprayer

Randal K. Taylor, Yeyin Shi, Wesley M. Porter, 2013 .

Comprehensive UAV agricultural remote-sensing research at Texas A M University

J. Alex Thomasson, Seth C. Murray, Michael P. Bishop, 2016, SPIE Commercial + Scientific Sensing and Imaging.

Development and testing of a customized low-cost unmanned aircraft system based on multispectral and thermal sensing for precision agriculture applications

John Valasek, Yeyin Shi, Han-Hsun Lu, 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

A case study of comparing radiometrically calibrated reflectance of an image mosaic from unmanned aerial system with that of a single image from manned aircraft over a same area

J. Alex Thomasson, Yeyin Shi, Chao Sima, 2017, Commercial + Scientific Sensing and Imaging.

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

Joe D. Luck, Eric Psota, Yeyin Shi, 2020, Remote. Sens..

LABORATORY EVALUATION OF A TURN COMPENSATION CONTROL SYSTEM FOR A GROUND SPRAYER

Wesley M. Porter, Randal K. Taylor, Yeyin Shi, 2013 .

Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image

Jihua Wang, Lin Yuan, Yeyin Shi, 2014, Remote. Sens..

Improving model robustness for soybean iron deficiency chlorosis rating by unsupervised pre-training on unmanned aircraft system derived images

Yeyin Shi, Jiating Li, Cody Oswald, 2020, Comput. Electron. Agric..

Mapping wheat rust based on high spatial resolution satellite imagery

Wenjiang Huang, Dongmei Chen, Kaihua Wu, 2018, Comput. Electron. Agric..

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

Yufeng Ge, Yeyin Shi, Tala Awada, 2021, Remote. Sens..

UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions

Joe Mari Maja, Yeyin Shi, Ana I. de Castro, 2021, Remote. Sens..

Investigate the potential of UAS-based thermal infrared imagery for maize leaf area index estimation

Yufeng Ge, Yeyin Shi, Biquan Zhao, 2021, Defense + Commercial Sensing.

Maize Tassel Detection From UAV Imagery Using Deep Learning

Jitender S. Deogun, Yeyin Shi, James C. Schnable, 2021, Frontiers in Robotics and AI.

Toward accurate estimating of crop leaf stomatal conductance combining thermal IR imaging, weather variables, and machine learning

Yufeng Ge, Yeyin Shi, Jiating Li, 2021, Defense + Commercial Sensing.

Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development

Nithya Rajan, John Valasek, Yeyin Shi, 2018, PloS one.

Distribution characteristics on droplet deposition of wind field vortex formed by multi-rotor UAV

Yeyin Shi, Yilong Zhan, Yeyin Shi, 2019, PloS one.

Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor

Reza Ehsani, Ana Isabel de Castro, Yeyin Shi, 2018, Scientific Reports.