Certificate in Applications in AI-based SmartAg Systems (CALS)
The Agricultural and Biological Engineering graduate studies program offers an opportunity for students to earn a certificate in Applications in AI-based SmartAg Systems through the College of Agricultural and Life Sciences (CALS).
A 3-tier sequence of courses was devised based on current catalog of courses with emphasis on precision agriculture and SmartAg concepts. The first course, at Tier I, introduces students to design analysis, and evaluation of SmartAg methods for applications in production agriculture, biological and food engineering, forestry, land, and water resources At Tier II, the student will develop machine learning skills that can be applied to a broad ranges of applications in agriculture and life sciences. In addition to current prerequisites for listed courses, the required courses will follow the proposed tiered structure sequence, i.e. Tier II will require Tier I courses. After completion of Tier I and Tier II, the student can select 1 additional specialized course (elective) according to the student's area of focus or interest across different disciplines. Courses in Tier III will require completion of Tier I and II.
IMPORTANT: To enroll in this certificate, the student must apply online following the link below (and click to “Apply Here" in that page):
Please notice that no more than 50% of certificate coursework can be completed prior to submitting an application for the certificate program.
Please notify Daphne Flournoy (email@example.com) after you complete the application so she can process your admission.
3-Tier Sequence of Courses
- Tier 1 [Required]
AOM 5456 Applied Methods in SmartAg System
- AOM 5435 Advanced Precision Agriculture
- Tier 2 [Required]
STA 6703 Statistical Machine Learning
- EEL5840 Fundamentals of Machine Learning
- Tier 3 [Choose One]
ABE 6035 Advanced Remote Sensing: Science and Sensors
ABE 6645C Computer Simulation of Crop Growth and Management Responses
ABE 6933 Special Topics in Agricultural and Biological Engineering
AOM6932 Controlled Environment Plant Production
GIS 6116 Geographic Information Systems Analysis
SUR6502C Foundations of UAS Mapping