Welcome to the personal website of Mohammadreza Narimani, a Ph.D. candidate in Biological Systems Engineering at the University of California, Davis, conducting research in digital agriculture and remote sensing.
Hi, I’m Mohammadreza Narimani!
Ph.D. Candidate at UC Davis and a researcher at the Digital Agriculture Laboratory. I focus on remote sensing—from handheld hyperspectral measurements to drone, LiDAR, and satellite data—using machine learning and deep learning to monitor agricultural environments.
- Education:
- Ph.D. (Biological Systems Engineering), UC Davis (2022–present), GPA 4.0, thesis on AI‑driven remote sensing for tomato crop monitoring.
- M.Sc. & B.Sc. in Biosystem Mechanical Engineering from University of Tehran (2015–2021), both with top honors.
- Skills:
- Remote sensing platforms: Sentinel‑2, Landsat‑9, ECOSTRESS, EMIT, drone hyperspectral & LiDAR systems
- Programming: Python, R, MATLAB, C++
- Techniques: GIS, image processing, deep learning, web app development, IoT & robotics
- Libraries and tools: TensorFlow, PyTorch, scikit‑learn, geemap, rasterio, QGIS, Google Earth Engine, OpenCV, PlantCV, and more
- Leadership & Teaching:
Serving in student governance at UC Davis, mentoring undergraduate and high school students, and holding TA roles in aerial systems, AI, and programming.
- Featured project: Sentinel‑2 Vegetation Index Visualizer, a Google Earth Engine (GEE) app for interactive visualization of indices like NDVI, EVI, SAVI, ARI, NDCI, and more—over user-defined areas and time periods. Supports cloud masking and dynamic legends. Perfect for crop-health monitoring and environmental analysis.
- Blog post spotlight: "Early Detection of Broomrape in Tomato Farms Using Satellite Imagery and Time‑Series Analysis".
Two tools for hands‑on learning and IoT experimentation:
- TAE30 Temp & RH – Online Mode: Real‑time monitoring of temperature and humidity via DHT22 + ESP8266 / Parallax board. Updates every second.
- TAE30 Temp & RH – Offline Mode: Upload CSV sensor data and visualize temperature/humidity trends if continuous real‑time isn't available.
I’d love to collaborate, share insights, or answer questions—feel free to reach out:
- Email: mnarimani@ucdavis.edu
A static website hosted on GitHub Pages to showcase my academic work, tools, blog posts, and teaching materials. Designed to help others explore digital agriculture tools and research outputs.
- To extend: clone the repo, edit
.htmlfiles or add new teaching or research pages, then push changes. - To contribute: submit pull requests or suggest new topics.
- Templates: Consider adding a Jekyll or Hugo layout for reusability.
Built to support digital agriculture initiatives at UC Davis Digital Agriculture Laboratory. Special thanks to colleagues and collaborators in the Digital Ag Lab for feedback and inspiration.