Mohammadreza Narimani

Mohammadreza holds both a bachelor's and a master's degree in Biosystem Mechanical Engineering from the University of Tehran, Iran, which he received in 2019 and 2021, respectively. Throughout his academic journey, he has focused on implementing cutting-edge technology such as Internet of Things systems, deep learning algorithms, and plant disease detection in smart hydroponic greenhouses. He also gained valuable experience during his internship at the Agricultural Engineering Research Institute of Iran, where he worked on agricultural machinery, robotics, artificial intelligence, and precision agriculture. In Fall 2022, Mohammadreza joined the Digital Ag. Lab at UC Davis as a Ph.D. student. His current research focuses on using radiative transfer modeling to retrieve leaf and canopy traits, with a particular interest in applying machine learning and deep learning methods in plant stress phenotyping and disease detection. He primarily works with aerial images captured by drones to conduct his research.
 

Research Interest: Agricultural Robotics, Precision Agriculture, Digital Agriculture, Machine Learning and Deep Learning, Artificial Intelligence, Computer Vision, Image Processing, UAVs and Arial Imagery, GIS and Remote Sensing, Sensor Systems, the Internet of Things, Plant Phenotyping, and Plant Disease Detection.
 

Fun Fact: I've been biking for 20 years and have never owned a car, which I think makes me a perfect fit for Davis since childhood! But that's not all - I'm also a skilled musician who can play traditional Iranian instruments like the Santoor, Daf, and Tombak. In fact, I was part of a band for many years and love exploring the intersection of music and culture.