In this special re-run episode of The Crop Science Podcast Show, we bring back our conversation with Dr. Phuong Dao from Colorado State University, who 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 is an Assistant Professor at The University of Texas at Austin and Principal Investigator of the Remote Sensing and Environmental Intelligence Lab. Research focuses on integrating remote sensing, geospatial science, plant ecology, and machine learning to understand crop disturbances and plant responses. Work connects plant physiology, environmental stress, and precision agriculture technologies for improved crop monitoring. 

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

What you will learn:

• (00:00) Highlight
• (00:59) Introduction
• (04:19) Remote sensing use
• (06:04) Hyperspectral imaging
• (13:04) Future of ag tech
• (15:29) AI in crop science
• (18:01) Workforce development
• (22:52) 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