AgTech360

Dr. Emmanuel Torres Quezada, researcher at the N.C. Plant Sciences Initiative, explores the unique challenges faced by specialty crop farmers and the importance of focusing research on these high-value, high-return crops. He discusses how in-field robotics can help automate tasks like staking, decrease labor costs, and enhance sustainability, ultimately making fresh produce more accessible and affordable for consumers. 

Jon Giebel from Indigo Ag discusses the role of biological seed treatments in sustainable agriculture. He explains how these living microbes can reduce carbon intensity and improve crop yields. John also introduces the CLIPS system,  an innovative technology designed to streamline the use of biologicals on the farm. This system stabilizes and facilitates the use of microbial treatments at planting time making them a more feasible option for large-scale farming operations. 

Dr. Chris Jones, a research scholar at NC State's Center for Geospatial Analytics shares insights on the use of landscape simulation models and their evolving role in agriculture. Learn how Chris creates models to track and predict pest and pathogen spread using tools like satellite imagery and survey data. By leveraging several data sources landscape modeling helps limit crop loss and improve resource allocation with more accurate predictive modeling.

Actionable insights from vast data and imagery sets are empowering growers to make more informed decisions. Advanced technologies now enable real-time monitoring of large, dispersed farms, significantly improving both decision-making and crop management. Tim Hassinger, CEO of Intelinair, shares how their AGMRI platform harnesses multiple imagery sources and open data to deliver precise, field-level insights. Tune in to explore the future of precision agriculture and discover how AI-driven innovations are transforming farming into a more efficient, data-powered industry.