Information Package / Course Catalogue
Smart Farm
Course Code: BSM428
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

Data collection, enter data on database according to the rules of Geographic Information System (GIS), producing a new data and information, gain skills for analyzing and interpreting this information

Course Content

Use of geographic information systems for identification of objects spreaded over large areas, the identification and mapping of their places teach basic information, methods, software and hardware used for this purpose.

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.To develop an understanding of geographical information systems
5.Learning to evaluate digital data
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
2.Yomralıoğlu, T., (2000). "Geographic Information Systems: Basic Concepts and Applications"
Weekly Detailed Course Contents
Week 1 - Theoretical
The concept of smart agriculture
Week 2 - Theoretical
Agriculture in Turkey
Week 3 - Theoretical
Information and Communication Technologies (ICT) and Agriculture
Week 4 - Theoretical
Technological Transformation in Agriculture-Agriculture 4.0 & 5.0
Week 5 - Theoretical
Smart Agriculture and Global Positioning Systems (GPS)
Week 6 - Theoretical
Soil and Vegetation Productivity Parameters-1
Week 7 - Theoretical
Soil and Vegetation Productivity Parameters-2
Week 8 - Theoretical
Internet of Things (IoT), sensors (Sensors)
Week 9 - Theoretical
Remote Sensing, UAV and Smart Agriculture Applications
Week 10 - Theoretical
Satellite Data Analysis
Week 11 - Theoretical
Geographic Information Systems
Week 12 - Theoretical
Geographic Information Systems and Agricultural Applications
Week 13 - Theoretical
Greenhouses in Smart Agriculture
Week 14 - Theoretical
Smart Agriculture and General Evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Midterm Examination1718
Final Examination110111
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
4
3
3
3
3
3
3
3
3
3
OÇ-2
3
3
4
3
4
3
4
3
4
3
4
OÇ-3
4
4
3
3
3
4
3
4
3
3
3
OÇ-4
3
3
3
3
4
4
3
3
3
4
4
OÇ-5
4
4
3
3
4
3
4
3
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026