Precision Agriculture (PAG)

PAG 115. Introduction to Precision Agriculture. 2 Credits.

This course is designed to introduce the student to principles of precision agriculture, crop and livestock production in precision agriculture, GIS, GPS, sensors, drones, data acquisition and management, Remote sensing. The course is offered in 2 one-hour lectures per week. Prereq: MATH 103.

PAG 115L. Introduction to Precision Agriculture Lab. 1 Credit.

This laboratory course is designed to teach students Precision Ag hands on experiences include drone applications, Weather stations like Microsoft Farm Beats Kit set up and applications in the farm field, sensors and data acquisition practice in the farm field. Prereq: PAG 115.

PAG 191. Seminar. 1-5 Credits.

PAG 215. Mapping of Precision Ag Data. 3 Credits.

This course is designed to introduce the student to principles and applications of mapping data in precision agriculture, GIS, GPS, sensors, drones, data acquisition and management. The course is offered in 2 one-hour lectures and 1 two-hour laboratory per week. Prereq: PAG 115 and MATH 103.

PAG 315. Electronic Systems in Precision Ag. 3 Credits.

This course is designed to introduce the student to understand the basics of electronic systems and applications in precision ag. The students will learn topics like signal processing, electric motor, serial control and communications data network for tractors and machinery for agriculture applications. The course is offered in two 50 mins lectures and one 100 mins laboratory per week. Prereq: PAG 115, PAG 115L and PAG 215.

PAG 394. Individual Study. 1-5 Credits.

PAG 454. Applications of Precision Agriculture. 3 Credits.

The course is designed to introduce students to current technologies that are being used for crop production, and how to use the data collected by them to make more informed crop management decisions. The course is offered as two 50-minute lectures and one lab meeting per week. Prereq: PAG 215. {Also offered for graduate credit - See PAG 654.}.

PAG 455. Applications of Big Data in Precision Agriculture. 3 Credits.

The course is designed to introduce students to basics concepts regarding big data, how big data relates to precision agriculture, and how big data analysis approaches are using precision agriculture related data to enhance crop management and production. The course is offered as two 50-minute lectures and a 2.5 hour lab per week. Prereq: PAG 215.

PAG 496. Field Experience/Practicum. 1-15 Credits.

PAG 654. Applications of Precision Agriculture. 3 Credits.

The course is designed to introduce students to current technologies that are being used for crop production, and how to use the data collected by them to make more informed crop management decisions. The course is offered as two 50-minute lectures and one lab meeting per week. {Also offered for undergraduate credit - See PAG 454.}.

PAG 690. Seminar. 1-5 Credits.