Information Package / Course Catalogue
| Course Code | : BSM450 |
| Course Type | : Non Departmental Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 4 |
Digital agriculture is an agricultural management system based on information, technology and production that aims to reduce negative impacts on the environment, ensure sustainable production, increase yield and profit by using new technologies at the right time, in the right place and in the right way.
Introducing concepts such as Agriculture 4.0/5.0, precision agriculture with the use of Information and Communication Technologies in the agricultural sector and innovative applications. Transferring the concept of digital agriculture with technological developments in the field of agriculture. Introducing image processing, land and plant information systems, remote sensing techniques and geographic information systems, teaching basic information, methods, software and hardware used for this purpose.
| Lec. Yüksel AYDOĞAN |
| 1. | Recognition of current technology in agriculture |
| 2. | Integration of smart systems in agricultural production |
| 3. | The ability to use unmanned vehicles in agricultural production |
| 4. | Facilitation of risk management and early diagnosis systems due to digitalization in agricultural production |
| 5. | Instant data flow and reporting methods with digital agricultural systems |
| 1. | Zhang, Q. (2016). Precision agriculture technology for crop farming (p. 374). Taylor & Francis. |
| 2. | Ozguven, M. M. (2023). The Digital Age in Agriculture. CRC Press. |
| 3. | Mouazen, A., Castrignano, A., Moshou, D., Buttafuoco, G., & andRaj Khosla, O. N. (2020). Agricultural internet of things and decision support for precision smart farming. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 2 | 42 |
| Lecture - Practice | 14 | 1 | 2 | 42 |
| Midterm Examination | 1 | 6 | 1 | 7 |
| Final Examination | 1 | 8 | 1 | 9 |
| TOTAL WORKLOAD (hours) | 100 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | 5 | 4 | 3 | 4 | 5 | 4 | 5 | 5 | 4 | 3 | 3 |
OÇ-2 | 4 | 5 | 4 | 4 | 5 | 4 | 3 | 3 | 4 | 3 | 4 |
OÇ-3 | 4 | 4 | 5 | 5 | 4 | 4 | 4 | 3 | 3 | 3 | 3 |
OÇ-4 | 5 | 4 | 4 | 5 | 4 | 4 | 4 | 5 | 3 | 3 | 3 |
OÇ-5 | 4 | 5 | 4 | 4 | 5 | 4 | 4 | 5 | 3 | 3 | 3 |