In this episode of The Crop Science Podcast Show, Dr. Daniela Jones from North Carolina State University joins us to discuss groundbreaking research in biofuels, sustainable farming practices, and the impact of data-driven solutions on crop production. She explores topics such as optimizing biomass supply chains and applying machine learning to improve sweet potato grading. Dr. Jones also highlights the critical role of interdisciplinary collaboration and data integration in advancing the field of crop science. Don’t miss this episode—tune in now!

"We’re pairing satellite images with in-field data to inventory current practices and plan future incentives for sustainable tillage."

Meet the guest: Dr. Daniela Jones, Assistant Professor and Ag Analytics Director at North Carolina State University, specializes in data-intensive modeling for sustainable agricultural systems. With a Ph.D. in Biological and Agricultural Engineering from Texas A&M University, she collaborates with leading laboratories to enhance biofuel production and crop analytics. Her interdisciplinary approach integrates data from gene expression, soil sensors, and satellite imagery to optimize agricultural outputs.

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What you will learn:

• (00:00) Highlight
• (00:56) Introduction
• (03:50) Ongoing research
• (07:01) Biofuels supply
• (07:46) Machine learning
• (14:09) Tillage practices
• (23:15) Sweet potato
• (25:59) Final questions

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

- KWS

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