In this episode of The Crop Science Podcast Show, Dr. Phuong Dao from Colorado State University shares cutting-edge insights into how remote sensing, AI, and geospatial science are transforming precision agriculture. Learn how high-resolution hyperspectral imaging and machine learning are helping detect crop issues, optimize yields, and prepare the next generation of agricultural data scientists. Listen now on all major platforms!

"Remote sensing provides a non-destructive and rapid method to detect and monitor disturbances in crops."

Meet the guest: Dr. Phuong Dao earned his Ph.D. in Physical Geography and Environmental Studies from the University of Toronto and currently serves as an Assistant Professor in the Department of Agricultural Biology at Colorado State University. His research integrates remote sensing, machine learning, and plant ecology to improve agricultural outcomes.

Liked this one? Don’t stop now — Here’s what we think you’ll love!

What you will learn:

• (00:00) Highlight
• (00:56) Introduction
• (04:16) Remote sensing use
• (05:51) Hyperspectral imaging
• (13:01) Future of ag tech
• (15:26) AI in crop science
• (17:58) Workforce development
• (22:49) Final three questions

The Crop Science Podcast Show is trusted and supported by innovative companies like:

- KWS

𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.

Website: The Crop Science Podcast Show

Instagram: The Crop Science Podcast Show

LinkedIn: The Crop Science Podcast Show