Introduction to Greenhouse Environmental Control for Crop Production
Introduction to Greenhouse Environmental Control for Crop Production is a 13-week certificate course designed and offered by USDA ADVANCEA project team.
The course will provide students with foundational information about the essentials of greenhouse environment control for a variety of commonly-grown crops.
Who Should Take This Course?
This course will provide a strong understanding of greenhouse environment control to those who are already employed in the industry, or those enrolled in an academic program with desire to learn about environmental controls in greenhouse systems.
The course is designed to be equivalent to an upper-level college course and requires entry-level understanding of modern greenhouse production systems.
What You Will Learn
In this course, you will
- Review greenhouse crop production systems and management strategies
- Be able to describe why and how important environmental parameters are controlled using sensors and control systems
- Gain sufficient insight in the basics of energy and mass transfer to understand the key plant-environment interactions in greenhouses
- Learn the basics of sensors and control logic to optimize greenhouse conditions
- Become familiar with recent developments in greenhouse control strategies
A certificate of completion will be granted to participants who successfully complete the course.
Course Schedule and Format
This course is fully online with weekly live online instructor-led sessions (via Zoom).
Course dates: January 4 – March 28, 2024 (registration for this class is now closed)
Weekly live sessions: Thursdays 6:00 – 8:00 PM, Eastern Time. Live sessions will be recorded and students will have access to recordings.
About the ADVANCEA Project
This collaborative research and extension program ADVANCEA Project is funded by the USDA NIFA Specialty Crop Research Initiative, and its objective is to assist U.S. growers in creating the most ideal crop-growing environment using real-time data and AI-based climate optimization processes.
- Dr. AJ Both, Professor, Rutgers University
- Dr. Murat Kacira, Professor, University of Arizona
- Dr. Chieri Kubota, Professor, Ohio State University
- Dr. Peter Ling, Associate Professor, Ohio State University
- Dr. Guil Signorini, Assistant Professor, Ohio State University
- Dr. Ken Tran, Koidra Inc.
- Dr. Fengqi You, Professor, Cornell University
Registration and Payment
Registration for future classes is coming soon.