Numerical simulation and field tests of minimum-tillage planter with straw smashing and strip laying based on EDEM software. - Yinyan Shi; Xin (Rex) Sun; Xiaochan Wang; Zhichao Hu; David Newman; Weimin Ding (Comput. Electron. Agric., 2019)

Image based thermal sensing for glyphosate resistant weed identification in greenhouse conditions. - Austin Eide; Yu Zhang 165; Cengiz Koparan; John Stenger; Michael Ostlie; Kirk Howatt; Sreekala G. Bajwa; Xin Sun 017 (Comput. Electron. Agric., 2021)

A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges. - Nadia Delavarpour; Cengiz Koparan; John Nowatzki; Sreekala G. Bajwa; Xin Sun 017 (Remote. Sens., 2021)

UAV-Assisted Thermal Infrared and Multispectral Imaging of Weed Canopies for Glyphosate Resistance Detection. - Austin Eide; Cengiz Koparan; Yu Zhang 165; Michael Ostlie; Kirk Howatt; Xin Sun 017 (Remote. Sens., 2021)

Applications of deep learning in precision weed management: A review. - Nitin Rai; Yu Zhang 165; Billy G. Ram; Leon Schumacher; Ravi K. Yellavajjala; Sreekala G. Bajwa; Xin Sun 017 (Comput. Electron. Agric., 2023)

Palmer amaranth identification using hyperspectral imaging and machine learning technologies in soybean field. - Billy G. Ram; Yu Zhang 165; Cristiano Costa; Mohammed Raju Ahmed; Thomas Peters; Amit Jhala; Kirk Howatt; Xin Sun 017 (Comput. Electron. Agric., 2023)

WeedVision: A single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images. - Nitin Rai; Xin Sun 017 (Comput. Electron. Agric., 2024)

A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects. - Billy G. Ram; Peter Oduor; C. Igathinathane; Kirk Howatt; Xin Sun 017 (Comput. Electron. Agric., 2024)

Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology. - Nitin Rai; Yu Zhang 165; Maria Villamil; Kirk Howatt; Michael Ostlie; Xin Sun 017 (Comput. Electron. Agric., 2024)

Deep learning for plant stress detection: A comprehensive review of technologies, challenges, and future directions. - Nijhum Paul; G. C. Sunil; David Horvath; Xin Sun 017 (Comput. Electron. Agric., 2025)