New Course on Understanding and Communicating AI in Agriculture
The Washington State University Center for Sustaining Agriculture and Natural Resources (CSANR) is launching a new online course:
Understanding and Communicating Artificial Intelligence in Sustainable Agriculture
This video series helps agricultural professionals understand and explain how artificial intelligence is affecting sustainable agriculture.
About the Course
This is a self-guided, asynchronous course delivered through a series of 11 training videos that can be viewed in any order. The full training is approximately 2.5 hours and can be completed at the viewer’s pace. Course objectives include:
- Exploring the role of AI in society and sustainable agriculture.
- Learning about behavioral models that predict technology adoption.
- Learning communication tactics to connect with stakeholders.
- Building confidence in having AI-related discussions in agriculture.
Continuing Education Unit Availability
The course can also be taken for .3 Continuing Education Units (CEUs) through Washington State University and the Extension Foundation for a $10 registration fee.
Who Should Take This Course?
While this training is open to anyone interested in the intersection of agriculture and AI, it is specifically tailored to empower agricultural outreach and education professionals.
This course is particularly relevant for:
- Ag-educators
- Extension professionals
- Crop consultants
- Outreach specialists
- Any ag-professional expected to engage audiences or provide guidance on AI-related topics
How to Access
The video series is now live and available to the public. To view the lectures or learn more about the curriculum, please visit the CSANR course page:
Understanding and Communicating Artificial Intelligence in Sustainable Agriculture
Funding and Support
This training material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2023-38640-39571 through the Western Sustainable Agriculture Research and Education program under project number WPDP24-013. Research that informed the development of these videos was supported by the AI Research Institutes program of the National Science Foundation and U.S Department of Agriculture’s National Institute for Food and Agriculture under the AI Institute: Agricultural AI for Transforming Workforce and Decision Support (AgAID) award No. 2021-67021-35344. USDA is an equal opportunity employer and service provider. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.
