About this episode

Dr. Phuong Dao discusses the impact of hyperspectral imaging and AI on precision agriculture.

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 https://www.linkedin.com/in/phuong-dao-a546b236/ 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…

People in this episode

Guest: Dr. Phuong Dao

Topics covered

• hyperspectral imaging
• precision agriculture
• remote sensing
• AI in agriculture
• crop monitoring
• geospatial science

Keywords

• hyperspectral imaging
• remote sensing
• precision agriculture
• AI
• crop monitoring
• geospatial science
• machine learning

Mentioned in this episode

Organizations: Colorado State University, The University of Texas at Austin, Remote Sensing and Environmental Intelligence Lab, Wisenetix

Places: Austin

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