Anjin Chang

Dr. Anjin Chang is a Research Associate Professor in Agricultural and Environmental Sciences at Tennessee State University. His research integrates precision agriculture technologies including UAS-based remote sensing, machine learning, and geospatial analytics for crop monitoring and yield prediction. Notable projects include digital twin frameworks for cotton growth forecasting and automated plot extraction using computer vision.

Chang's publications focus on high-throughput phenotyping, UAS data processing optimization, and hyperspectral imaging applications. Honors include 2021 Best Presentation at the US-Korea STEM Conference. He holds a PhD in Civil and Environmental Engineering from Seoul National University with specialization in spatial informatics.