JEONBUK NATIONAL UNIVERSITY
Department of Smart Farm
| Entrance quota |
Minimum major credit | Advanced credits for major | Graduation credits | subject organization | Number of organized credits |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| M.R | M.E | Sub total |
M.R | M.E | Sub total |
M.R | M.E | Sub total |
|||
| 30 | 18 | 24 | 42 | 21 | 130 | 6 | 27 | 33 | 18 | 81 | 99 |
| Grade | Semester | Classification | Subject | Credit- Class- Practice |
|---|---|---|---|---|
| 1 | 2 | M.E | Introduction to Digital Agriculture | 3-3-0 |
| 2 | 1 | M.R | Crop Science and Practice | 3-2-2 |
| M.E | Applied Mechanics for Smart Farm Applied Mathematics for Smart Farm Computer Hardware Principles Economics of Smart Farming ◇Programming Principles and Practice |
3-3-0 3-3-0 3-3-0 3-3-0 3-2-2 |
||
| 2 | M.R | Crop Cultivation Data Science for Smart Farming |
3-2-2 3-3-0 |
|
| M.E | Crop Physiology Computer Software Principles Experimental Statistics Basic Animal Science ◈Introduction to Artificial Intelligence and Practice |
3-3-0 3-3-0 3-3-0 3-3-0 3-3-0 |
||
| 3 | 1 | M.R | ○◇Bioenvironment Control Engineering | 3-3-0 |
| M.E | Protected Crop Plant Pathology Soil Science ◇Applied Software Development ◈Introduction to Cloud Computing and Practice |
3-3-0 3-3-0 3-3-0 3-2-2 3-3-0 |
||
| 2 | M.R | ○◇Capstone Design for Smart Farm | 3-3-0 | |
| M.E | Thermal Environmental Engineering of Smart Farm Agricultural Meteorology Crop Protection Precision Agriculture ◈Advanced IoT Programming |
3-3-0 3-3-0 3-3-0 3-3-0 3-3-0 |
||
| 4 | 1 | M.R | ○◇Principles and Practice of Crop Modeling | 3-2-2 |
| M.E | GIS in Agriculture Plant Nutrition Smart Farm Energy System Design ◇Artificial Intelligence & Big Data |
3-3-0 3-3-0 3-3-0 3-2-2 |
||
| 2 | M.E | Smart Farming Seminar Life Cycle Environment Assessment in Agriculture Measurement and Control for Smart Farm Livestock Facilities & Environment Farm Practice ◈SW Convergence Project Capstone Design |
3-3-0 3-3-0 3-3-0 3-3-0 3-0-6 3-3-0 |
* M.E : Major Elective Course
* ○ : mandatory courses for a minor
※ Digital Agriculture AI Track (◇, ◈ indicate courses within the Digital Agriculture AI Track)
To complete the Digital Agriculture AI Track, students must take at least 2 out of 4 designated STEMCELL courses (marked ◈) from the Software-Centered University and at least 4 out of 6 designated major courses (marked ◇) from the Department of Smart Farm, earning a total of at least 21 credits. STEMCELL courses from the Software-Centered University are not offered by the Department of Smart Farm but by the School of Convergence Studies (IAB Convergence). If taken, they will be recognized as major courses.