
| Course Code | : ZTM539 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The objectives of this course are to gain fundamental understanding of precision agriculture; know and use appropriate hardware and software tools; experience in creating and using prescription maps; effectively use data in management decisions; and have a vision of precision agriculture applications in other countries.
Global positioning systems, Geographical positioning systems , Yield monitoring and mapping systems, the meaning of variability in agriculture, sampling methods and tools concerning heterogeneity, soil electrical conductivity, remote sensing, variable rate application technology, prescription maps and related software, auto steering systems, agro robots.
| Prof. Saadettin YILDIRIM |
| 1. | To develop an understanding of using global positioning systems and their use in precision agriculture |
| 2. | To develop an understanding of measuring and mapping soil/crop properties and getting experience on using hardware and software |
| 3. | To develop an understanding of geographical information systems |
| 4. | To gain experience on creating “Prescription Map” for variable rate application |
| 5. | To identify agro-robots and their potential |
| 6. | To have information on precision agriculture technologies and their application in the world and their future |
| 1. | Uzaktan Algılamada Temel Kavramlar, Atilla Sesören, Mart Matbaacılık S.Ltd.Şti |
| 2. | Hassas Uygulamalı Tarım Teknolojisi, Vahit Kirişçi, M.Keskin, S.M.Say,S.G.Keskin, ISBN:975-591-066-2 |
| 3. | Precision Farming- factors influencing profitability. 1999. Batte,M.T., Northern Ohio Crops Day meeting, Wood County,January 21,Ohio-USA |
| 4. | Precision Farming Adoption and Use in Ohio: 2003. Batte,M.T, and Arnholt,M.W., a case studies of six leading-edge adopters, Computers and Electronics in Agriculture 38 (2003) 125-139 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Assignment | 14 | 2 | 2 | 56 |
| Term Project | 1 | 0 | 18 | 18 |
| Midterm Examination | 1 | 20 | 1 | 21 |
| Final Examination | 1 | 20 | 1 | 21 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 4 |
OÇ-2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-3 | 5 | 5 | 5 | 5 | 5 | 5 | 3 | 5 | 5 | 5 | 5 | 5 |
OÇ-4 | 5 | 5 | 5 | 5 | 5 | 5 | 3 | 5 | 5 | 5 | 5 | 5 |
OÇ-5 | 5 | 5 | 5 | 5 | 5 | 5 | 2 | 5 | 5 | 5 | 5 | 5 |
OÇ-6 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 |