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Course Syllabus

AGTM 2600 Drones & Imagery in Agriculture

  • Division: Business and Applied Tech
  • Department: Business
  • Credit/Time Requirement: Credit: 3; Lecture: 2; Lab: 2
  • Semesters Offered: Spring
  • Semester Approved: Fall 2023
  • Five-Year Review Semester: Fall 2028
  • End Semester: Summer 2029
  • Optimum Class Size: 20
  • Maximum Class Size: 25

Course Description

This course will offer an introduction to Unmanned Aerial Systems (UAS) used in precision agriculture. This course will focus on hands-on learning of hardware and software on the college farm, discussion on related topics and ideas, and federal licensing requirements.

Justification

Precision agriculture is a growing industry that can save both time and money for the agricultural community. UAS operations offer the potential for higher crop yields, more precise application of treatments, early detection of crop health issues, and increased revenues. This course reviews the current state and future potential of UAS in precision agriculture. This course will fulfill requirements for the Agriculture Technology/Mechanics AAS degree.

Student Learning Outcomes

  1. Identify precision agriculture terminology.
  2. Identify various career paths relating to precision agriculture.
  3. Identify and demonstrate proper techniques in data collection.
  4. Identify software and hardware required for different levels of precision agriculture.
  5. Identify specific components of Geographic Information Systems (GIS) used for site-specific agriculture practices.
  6. Analyze data from precision agriculture platforms and prepare recommendations.

Course Content

Course objectives will be accomplished by providing students with the following learning experiences: Describe the importance and current state of precision agriculture; Identify how UAS technology can be applied to precision agriculture tasks; Determine the commercial viability of UAS applications in precision agriculture; Demonstrate proper data collection methods through drone operation; Analyze imported data; Demonstrate decision-making skills based on collected data; Introduce students to companies within Ag industries utilizing Ag technology; Legal use and required licensing and registration.