Information Package / Course Catalogue
| Course Code | : BSM341 |
| Course Type | : Required |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 3 |
The aim of this course is to enable students to understand the concept of precision agriculture, the approach of spatial and temporal variability in agricultural production, and the principles of input management based on variability. Within the scope of the course, GNSS, Geographic Information Systems, yield monitoring and mapping, determination of soil and crop properties, sampling methods, remote and proximal sensing, and variable-rate application technologies are covered. Thus, students are expected to evaluate precision agriculture practices within the framework of data collection, analysis, decision-making and application processes.
The course covers the basic concepts of precision agriculture, spatial and temporal variability, positioning systems, Geographic Information Systems, determination of soil and crop properties, sampling methods, yield monitoring and yield mapping, remote sensing, proximal sensing, variable-rate application technologies, prescription maps and decision-making processes in precision agriculture.
| Prof. Saadettin YILDIRIM |
| 1. | Explains the concept of precision agriculture, its reasons for emergence, basic principles and importance in agricultural production. |
| 2. | Explains the concepts of spatial and temporal variability in agricultural production and evaluates the processes of identifying and managing field variability. |
| 3. | Explains the use of GPS, Geographic Information Systems, sampling methods, yield monitoring and yield mapping technologies in precision agriculture. |
| 4. | Evaluates the use of remote sensing, proximal sensing, and soil and crop property mapping in precision agriculture. |
| 5. | Analyzes variable-rate application technologies, application maps and decision-making processes in terms of precision agriculture applications. |
| 1. | Morgan M. and D. Ess. 2003. The precision-farming guide for agriculturists. 2nd Ed. John Deere Publishing. Moline, Illinois, USA |
| 2. | Zhang, Q. (Ed.). (2015). Precision Agriculture Technology for Crop Farming. CRC Press. |
| 3. | Campbell, J. B., Wynne, R. H., & Thomas, V. A. (2022). Introduction to Remote Sensing (6th ed.). Guilford Press. |
| 4. | GPS.gov. The Global Positioning System, GPS accuracy and augmentation systems. U.S. government official GPS website. |
| 5. | NASA Earthdata. Satellite remote sensing for agricultural applications. National Aeronautics and Space Administration. |
| 6. | Lecture notes and recent scientific publications. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Midterm Examination | 1 | 0 | 2 | 2 |
| Final Examination | 1 | 0 | 3 | 3 |
| TOTAL WORKLOAD (hours) | 75 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | 2 | 2 | 1 | 2 | 1 | 1 | 3 | 3 | 3 | 4 | |
OÇ-2 | 3 | 4 | 2 | 3 | 4 | 2 | 2 | 2 | 3 | 3 | |
OÇ-3 | 3 | 4 | 2 | 5 | 4 | 2 | 2 | 2 | 3 | 2 | |
OÇ-4 | 3 | 4 | 2 | 5 | 5 | 2 | 3 | 3 | 4 | 4 | |
OÇ-5 | 3 | 5 | 4 | 5 | 4 | 2 | 3 | 3 | 4 | 4 | |