In this episode of The Crop Science Podcast Show, Dr. Jian Jin from Purdue University explains how engineering, automation, and data-driven design are redefining sustainability and performance in modern agriculture. He explores how hyperspectral imaging, AI-based modeling, and robotic sensing systems contribute to crop management and resource efficiency in the field. Discover how innovation and circular thinking are building a more resilient and precise crop production system. Listen now on all major platforms!

"Combining remote and proximal sensing creates a hybrid system that balances coverage, accuracy, and reliability in crop monitoring."

Meet the guest: Dr. Jian Jin is an Associate Professor at Purdue University and President of LeafSpec LLC, specializing in agricultural and biological engineering. His research integrates imaging technologies, artificial intelligence, and automation to enhance plant phenotyping and precision agriculture.

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What you will learn:

• (00:00) Highlight
• (01:11) Introduction
• (03:55) Plant sensor lab
• (05:47) Optical sensor tech
• (09:40) Hyperspectral modeling
• (15:34) Industry applications
• (28:01) Scaling and automation
• (38:11) Final three questions

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

- KWS

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