Information Package / Course Catalogue
Precision Agriculture Applications
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
Objectives of the Course

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.

Course Content

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

Name of Lecturer(s)
Prof. Saadettin YILDIRIM
Learning Outcomes
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.GPS guided application (Auto steering and etc.)
5.Economical and environmental aspects of PA
Recommended or Required Reading
1.Morgan M. and D. Ess. 2003. The precision-farming guide for agriculturists. 2nd Ed. John Deere Publishing. Moline, Illinois, USA
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to precision agriculture and fundamentals of PA
Week 2 - Theoretical
Global positioning systems (GPS, DGPS, RTK GPS)
Week 3 - Theoretical
Geographical information systems
Week 4 - Theoretical
Yield monitoring and mapping
Week 5 - Theoretical
Spatial variability, sampling methods and tools (soil, crop etc.)
Week 6 - Theoretical
Soil electrical conductivity
Week 7 - Theoretical
Soil electrical conductivity (Midterm Exam)
Week 8 - Theoretical
Remote sensing (electromagnetic spectrum, spectral reflectance
Week 9 - Theoretical
Variable rate application technology
Week 10 - Theoretical
Variable rate application maps and software
Week 11 - Theoretical
GPS guided application (Auto steering and etc.)
Week 12 - Theoretical
Economical and environmental aspects of PA
Week 13 - Theoretical
Economical and environmental aspects of PA
Week 14 - Theoretical
Field robots
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141470
Midterm Examination1022
Final Examination1033
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
3
5
4
4
5
5
4
3
5
2
3
OÇ-2
3
5
4
4
5
5
4
3
5
2
3
OÇ-3
3
5
4
4
5
5
4
3
5
2
3
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026