Information Package / Course Catalogue
Greenhouse Automation and Data Analysis
Course Code: AST110
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

To provide information about mechanization and automation systems in greenhouse farming and their working principles and to inform them about the importance of mechanization in greenhouse farming work.

Course Content

This course provides theoretical and practical information on smart greenhouse automation, control systems and control principles used in greenhouses, data monitoring and storage techniques in greenhouses, energy control, and traceability of greenhouse automation with mobile applications.

Name of Lecturer(s)
Prof. Ahmet KILIÇKAN
Learning Outcomes
1.Know the smart greenhouse types
2.Knows the basic concepts and principles of greenhouse automation control
3.Data tracking and storage techniques in greenhouses
4.Know the response and stability of greenhouse control systems
5.Gains the ability to be open to innovations in this field, access information and produce solutions.
Recommended or Required Reading
1.Supporting books, journals, articles, and online resources selected by the course instructor
2.Sample videos, documentaries and movies.
3.Lecturer notes
Weekly Detailed Course Contents
Week 1 - Theoretical
General introduction to greenhouse structures, greenhouse types
Week 2 - Theoretical
Introduction to smart greenhouse automation: Control Systems, Basic Concepts and Control Principles
Week 3 - Theoretical
Introduction to smart greenhouse automation: Control Systems, Basic Concepts and Control Principles
Week 4 - Theoretical
Data tracking and storage techniques in greenhouses
Week 5 - Theoretical
EC and pH control and acid tanks control in smart greenhouses
Week 6 - Theoretical
Circulation fan control
Week 7 - Theoretical
Roof and Window Ventilation control
Week 8 - Theoretical
Shading and thermal curtain control
Week 9 - Theoretical
Heating and cooling systems control
Week 10 - Theoretical
Water tanks management
Week 11 - Theoretical
Water pump automation
Week 12 - Theoretical
Oxygen and Carbondioxide control
Week 13 - Theoretical
Energy control
Week 14 - Theoretical
Traceability of greenhouse automation with mobile application
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Midterm Examination19110
Final Examination111112
TOTAL WORKLOAD (hours)50
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
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
OÇ-1
5
OÇ-2
5
OÇ-3
5
OÇ-4
5
OÇ-5
5
Adnan Menderes University - Information Package / Course Catalogue
2026