AGR 120 - Precision Agriculture

3 Credit(s)

Emphasis on Global Positioning Systems (GPS), Geographic Information Systems (GIS), remote sensing, data acquisition, mapping, variable rate applications and economics of precision agriculture technologies. Includes a fundamental understanding of precision agriculture; identification and use appropriate hardware and software tools; experience in developing and interpreting prescription maps; effectively use data in management decisions; and understanding of precision agriculture applications in other countries.

Course Type: Lecture
Tuition Tier: Base
Delivery Method:
In-Person
Course Learning Outcomes:
CLO 1) Students will operate basic drone and sensor systems to collect spatial data, logging metadata for reproducability.
CLO 2) Clean, format, and visualize field data using open-source tools (e.g., QGIS, Python, Excel), integrating multiple data sources.
CLO 3) Create prescription maps and equipment control outputs using open formats to explain agronomic decision making.
CLO 4) Apply basic analytics and models, both statistical and rule based, to predict outcomes and estimate input ROI.
CLO 5) Analyze global Agriculture 4.0 solutions through lot-tech lens to determine scalability using frugal innovation principles.