Dr. Brian Arnall: AI for Agricultural Supply Chain Efficiency | Ep. 166
In this episode of The Feed Science Podcast Show, Dr. Brian Arnall from Oklahoma State University explains how agricultural technology, data, and artificial intelligence can improve farm decisions and efficiency. He discusses data quality, predictive models, practical AI applications, and labor challenges shaping technology adoption across agriculture. Discover how digital tools can support more efficient agricultural systems. Listen now on all major platforms!
"Artificial intelligence provides practical value when automated workflows collect recurring information, organize relevant sources, and reduce time required for routine agricultural decisions."
Meet the guest: Dr. Brian Arnall is a Professor and Precision Nutrient Management Extension Specialist at Oklahoma State University. His extension and research program focuses on soil fertility, nutrient management, precision agriculture, optical sensors, and practical technologies for producers in Oklahoma and the Southern Great Plains. He earned a Ph.D. in Soil Fertility, an M.S. in Soil Science, and a B.S. in Agronomy from Oklahoma State University. Listen to Dr. Brian Arnall on The Feed Science Podcast Show, available on all major platforms.
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What will you learn:ย
- (00:00) Highlight
- (01:44) Introduction
- (02:44) Precision nutrient technology
- (04:04) Agricultural data evolution
- (06:59) Data quality and model gaps
- (13:29) Practical AI applications
- (23:14) Labor-driven technology adoption
- (27:44) Closing thoughts
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