Our Team

Jing Zhou, Ph.D.

Crop and Soil Science, Oregon State University

Dr. Jing Zhou received his Ph.D. in Biological and Agricultural Engineering from the University of Missouri-Columbia and later worked as a Postdoctoral Research Associate in the Digital Agriculture Lab at the University of Wisconsin-Madison. His research focuses on developing sensing, geospatial, automation, and AI technologies to advance sustainable crop management and food systems. At OSU, Dr. Zhou leads the Precision Agriculture Innovation Center, where his team develops remote sensing, IoT sensor networks, and AI-driven solutions to address real-world challenges in sustainable agriculture.

OSU Faculty Profile →

Ameyassh Nagarajan

I'm Ameyassh Nagarajan, a Ph.D. student in Crop Science and Artificial Intelligence at Oregon State University. My research sits at the intersection of AI and agriculture — specifically, I develop and apply computer vision models to tackle real-world challenges like grass seed identification and slug detection in grass seed farms. To do this, I build affordable vision systems designed to collect high-quality, high-frequency data that powers machine learning models — making precision agriculture accessible to everyone. I came to this work through a strong background in computer science built across my bachelor's and master's degrees, and I've been applying that ever since to problems with real impact for farmers. I'm passionate about showing that powerful AI tools can be practical and affordable in fields like agriculture.

ameyass@oregonstate.edu

Qianyi Duan

Qianyi Duan is a dual-major Ph.D. student in Crop Science and Artificial Intelligence at Oregon State University, advised by Dr. Jing Zhou and co-advised by Dr. Fuxin Li. He received his B.E. degree in Spatial Informatics and Digital Technology from Wuhan University. His current research focuses on representation learning for complex spatio-temporal-spectral data, specifically developing multimodal segmentation models for multispectral Satellite Image Time Series (SITS) to achieve species-level, fine-grained crop classification. Looking forward, he aims to tackle challenges in data scarcity, model generalization, and computational optimization to facilitate large-scale deployment. His agricultural focus is dedicated to advancing the production systems of grass and legume seed crops, both regionally in Oregon and on a global scale. Outside the lab, Qianyi is an enthusiast of musical theater and craft beer, with a goal of becoming a certified BJCP judge.

duanqi@oregonstate.edu

Tz-Jie Dai

Tz-Jie is an MEng student at Oregon State University, working under the supervision of Dr. Jing Zhou. He specializes in computer vision and system design, with a strong focus on integrating AI into real-world systems. He received both his Bachelor’s and Master’s degrees in Computer Science from National Central University, and subsequently worked as a software developer for more than three years in industry. He is currently working on a weed detection project that applies computer vision and AI models to identify weeds in agricultural fields and enable robots to perform precision pesticide spraying.

daii@oregonstate.edu | tzjie.dai@gmail.com

Aswin Arumugam

Aswin Arumugam is a graduate student in Robotics at Oregon State University and a Sensing Platform Developer at the Precision Agriculture Innovation Center (PAIC). His work focuses on building reliable data pipelines for the Grady Sensor, including real-time data collection, time synchronization, and secure cloud integration. At PAIC, he develops and debugs field-deployable sensing platforms for the Grady Sensor, improving system robustness across embedded software, networking, and user interfaces. Prior to this, he worked at Microchip Technology, contributing to firmware and system-level features for high-speed Ethernet PHY devices. His interests include robotics, sensing, and deploying autonomous systems in real-world environments.

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Nopphapadonthon Palawong

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Henry Dalrymple

I am a senior undergraduate student at Oregon State University. I currently work as a sensor platform developer, but also work on general development of a robot being used for imaging of crops. These include autonomous navigation, remote control, and data collection with categorization for peripheral sensors and devices.

Logan Snell

Logan Snell, originally from California, joined the team in December of 2023. As a Mechanical Engineering undergraduate, he focuses on all physical aspects of grass seed research; everything from how to collect and separate seeds to imaging them. Logan's passion for engineering and design was sparked during his high school robotics days. He has research grants from the Continuing Research Program and will be presenting his work in the spring. Outside of work, Logan enjoys racing drones and snowboarding. A dedicated creator, his favorite tool is a 3D printer, and he's especially proud of his contribution to designing the housing for a seed moisture sensor.

Aaron Affeldt