AI Applications in Agriculture
Agricultural Issues
Joanna Radford
County Extension Director
North Carolina Cooperative Extension
DOBSON
Abstract
Artificial Intelligence (AI) is rapidly transforming agricultural production, decision-making, and farm management. This presentation will explore practical and emerging AI applications that can help farmers improve efficiency, sustainability, and profitability. The session will highlight several key areas where AI is currently being integrated into agricultural operations and where future opportunities exist. First, the presentation will examine AI-powered technologies such as drones, robotics, and precision agriculture tools that assist with crop and soil health monitoring. These technologies allow producers to collect real-time data on crop vigor, soil moisture, nutrient needs, and pest pressures, enabling more precise and timely management decisions. By utilizing AI-driven analytics, farmers can reduce input costs, increase yields, and improve environmental stewardship. Second, the session will introduce Innovative Business Models (IBM) that are emerging alongside AI adoption in agriculture. These models include technology service providers, cooperative data-sharing approaches, and farm-level decision support systems that help make advanced technologies more accessible to producers of varying scales. The presentation will also demonstrate how augmented reality, short educational videos, and QR codes can be used as practical communication tools to connect farmers with AI resources. These technologies can simplify complex concepts, provide on-demand training, and allow producers to quickly access demonstrations and implementation guidance in the field. Finally, the session will discuss the important role universities and Extension systems play in bridging the gap between research and on-farm adoption. Partnerships between universities and local farms can help demonstrate AI technologies, provide technical support, and strengthen farmers’ confidence in implementing these tools within their operations. Together, these approaches illustrate how AI can be integrated into agriculture through technology, education, and collaborative partnerships to support the future of farming.
Authors: Joanna Radford, Shawn Banks, Mark Blevins
-
Joanna Radford County Extension Director, North Carolina State University - NC Cooperative Extension - NC Association of County Agricultural Agents, North Carolina, 27017
-
Shawn Banks County Extension Director, North Carolina State University - NC Cooperative Extension - NC Association of County Agricultural Agents, North Carolina, 28557
-
Mark Blevins Assistant Extension Administrator for Agricultural and Natural Resources, North Carolina A&T State University, North Carolina, 27420