The Ohio State University is among the top universities currently providing courses related to digital agriculture. Here are a few undergraduate and graduate opportunities...
Undergraduate Course Offerings
Click the course name to view a tentative syllabus for each course.
ASM 2580 - INTRODUCTION TO DIGITAL AGRICULTURE
An overview of the emergence of data-driven processes and management decisions in agriculture. Emerging analytical tools applied to large complex data sets will produce actionable information to enhance the profitability and sustainability of production agriculture.
ASM 3580 - UAS AND REMOTE SENSING IN AGRICULTURE
This course provides students with a working knowledge of unmanned aerial systems and remote sensing, and ensures they recognize the rights and obligations of a shared air space. Course topics include FAA regulations and rulemaking; UAS basics; mission planning; image sensing technologies; image collection and processing; agricultural applications; and economics.
ASM 4580 - INTRODUCTION TO PRECISION AGRICULTURE
An overview of precision agriculture principles with a focus on prescriptive agriculture and the ability to effectively execute input management plans using today’s technologies. Examples of field-level management decisions are covered including spatial assessment of agronomic response, profitability, adaptable cropping practices, and conservation planning.
ASM 5580 - DATA ANALYTICS IN PRODUCTION AGRICULTURE
A study of data management and analytics principles in support of field crop production. Students are exposed to common data generation and collection methodologies and modeling approaches to generate actionable spatial and temporal management recommendations at the sub-field level. Data errors, cleaning and analytic techniques will also be covered.
The Ohio State University offers graduate opportunities for students seeking a M.S. or Ph.D. in Food, Agricultural, and Biological Engineering. Students gain in-depth, applied experience with current tools and technologies. Potential research project areas include: agricultural field machinery automation, advanced cropping systems, agricultural data analytics, remote and within canopy sensing, precision livestock, and sustainability. All current students are supported on assistantships and fellowships. Please contact us at email@example.com soon to secure your opportunity to join the OSU Digital Agriculture Team!