UC Davis Digital Agriculture

Name: UC Davis Digital Agriculture
Address: Davis, CA, 95616, US
Telephone: +15307521011

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UC Davis Digital Agriculture

Digital Agriculture Laboratory at the University of California, Davis
Developing decision-support-tools for data-driven agriculture

03/13/2026

Our team presented our decision support technology and tools at the OpenFarm event at UC Merced, sharing how data-driven solutions can support growers and agricultural stakeholders in making better, more informed decisions.

12/24/2025

Our team’s research on advancing crop nutrient monitoring is now live on Agri-Pulse TV.
Agri-Pulse’s AgriTech Unleashed: Smart Solutions for Global Food Challenges (Part 4)

05/29/2025

Proud to share that Momtanu is now Dr. Chakraborty!
Last week, Momtanu successfully presented her dissertation on advancing remote sensing for almond production, developing tools to monitor nutrients from individual leaves to full canopies, and forecasting yield.
Momtanu was one of the most active and engaged PhD students, not just in the lab, but across the entire department.
While we’ll certainly miss having her around day-to-day, I am incredibly proud of all she’s accomplished and excited to see what she takes on next.

05/23/2025

Big congratulations to Dr. Sirapoom Peanusaha
Poom just defended his PhD dissertation after four intense, focused, and impressively efficient years.
His work tackled one of the big challenges in remote sensing for agriculture: how to make analytics more reliable and consistent?
He focused on vineyard health, developing tools to better monitor vine traits such as nitrogen and other nutrients/biochemicals.
From undergraduate to PhD in four years, and now officially a doctor. We might need to install speed limits in the lab.
Well done, Dr. Peanusaha. The grapes (and your advisor) thank you.

03/27/2025

Digital Ag Lab

03/22/2025

Check out my lab’s new publication in CompAG: https://lnkd.in/gwuevNRR
It presents a fresh approach that blends mechanistic modeling with AI to achieve more accurate and consistent leaf-level spectral modeling for biochemicals and nitrogen sensing in almond crops.

Thanks to Momtanu Chakraborty for leading this research and Patrick Brown for his valuable advice. Also, Thanks to the AI Institute for Next Generation Food Systems (AIFS) for supporting this research

01/28/2025

Check out our website

07/23/2024

Congratulations to Momtanu Chakrabortty for receiving the Outstanding Graduate Student Award at the 16th International Conference on Precision Agriculture. Momtanu’s innovative work is setting new standards in remote sensing of specialty crops.

04/22/2024

Thrilled to see our lab members at the conference, showcasing their innovations in remote sensing that elevate research standards. Their brilliance makes us all & incredibly proud!

03/07/2024

A pleasant visit to the SunMaid raisin processing facility as part of the annual project meeting in Kingsberg California

02/20/2024

Our new spider mite counting smartphone app enhances the accuracy and speed of traditional monitoring methods for many crops, such as Strawberry and Almond. Leveraging deep learning (YOLOv7 tiny model) and smartphone GPS, it offers precise, efficient pest detection and mapping to reduce pesticide use, benefiting both farmers and the environment.

Address

Davis, CA
95616

Telephone

+15307521011

Website

http://digitalag.ucdavis.edu/

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