Teaching

Course Description

Provides insight into the technology and tools available to support precision agriculture applications. Examines the concepts and applications of precision agriculture to teach practical use of hardware, equipment, and software. An overview of current technology including sensing technology, sensing automation, geographic information system, imagery, and data analysis.

Objectives and Student Learning Outcomes

Students are expected to:

1. Explain the fundamental concepts of precision agriculture and its benefits and limitations
2. Describe remote sensing and operating principles in precision agriculture
3. Understand the operation of GIS tools and software to support precision agriculture
4. Define and identify and evaluate current technologies and their usage and limitations
5. Apply precision agriculture techniques in agricultural management situations

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Course Overview

CROP 515 – Automation and Intelligence in Agriculture is a graduate-level course exploring advanced applications of automation, robotics, and artificial intelligence in modern agricultural systems. Topics will span autonomous field equipment, machine learning for crop monitoring, AI-driven decision support, and the integration of IoT and edge computing in farm management.

Full course details including credit hours, schedule, learning objectives, grading policy, and weekly schedule will be posted here once the syllabus is finalized. Please check back or contact Dr. Zhou for more information.

Contact

For inquiries about this course, please contact:

Dr. Jing Zhou, Ph.D.
jing.zhou@oregonstate.edu
Office: 153A Crop Science Bldg  ·  Office Hours: TR 1:30–3:00 pm