AGP 330 - Advanced GPS
Last Date of Approval: 2021
Total Lecture Hours: 30
Total Lab Hours: 30
Total Clinical Hours: 0
Total Work-Based Experience Hours: 0
This course is designed for students who have successfully completed Introduction to GPS. Students will be able to evaluate yields, prescribe fertilization rates, and predict yield risks by real data taken through a number of input analysis, and visualization steps. Students will develop a very diverse skill set in precision hardware functions, installation, and trouble-shooting systems. These skills will be necessary for students to apply critical thinking into precision agricultural practices.
Prerequisites/Corequisites: AGP 336 - Precision Agriculture
Mode(s) of Instruction: traditional/face-to-face
Credit for Prior Learning: There are no Credit for Prior Learning opportunities for this course
Course Fees: None
Common Course Assessment(s): None
Student Learning Outcomes and Objectives:
Student Learning Outcomes:
1. Acquire and use documentation on each of the hardware systems to be used in class (field documentation, guidance, variable rate, yield monitoring, precision planting)
2. Setup, diagnose, and explain the accuracy of various precision systems. Evaluate and diagnose basic electrical, hydraulic, and pneumatic systems
3. Install and demonstrate use of hardware systems on appropriate implements.
4. Set up, calibrate, and demonstrate the use of UAV's in agriculture.
1. Become familiar with GIS (Geographic Information Systems) software and be able to utilize it.
2. Critically evaluate GPS and DGPS systems for site specific, sustainable management systems.
3. Develop an understanding of the concept of site specific management.
4. Critically evaluate the technology used in site-specific management.
5. Evaluate the operating principles of GPS, yield monitors, variable rate control systems, and field computers.
6. Explore principles and applications of variable rate technologies, be able to identify sensing technology for precision agriculture, and apply precision agriculture to a real situation.
7. Recognize types and sources of data and information necessary for a comprehensive precision agriculture program.
8. Understand basic scientific principles of remote sensing used in precision site specific systems.
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