Information Package / Course Catalogue
Smart Irrigation Systems
Course Code: DJTA107
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

The aim is to teach smart irrigation solutions that will ensure the efficient use of water resources.

Course Content

Irrigation techniques, automation systems, humidity sensors, water management and energy efficiency are covered.

Name of Lecturer(s)
Learning Outcomes
1.Classify irrigation systems (drip, sprinkler, etc.).
2.Makes irrigation decisions based on soil and climate data.
3.Describe IoT-based irrigation control systems.
4.Compare water-saving technologies.
5.Plans the maintenance and operation of smart irrigation systems.
Recommended or Required Reading
1.MICRO-IRRIGATION SYSTEM LATERAL PIPE FLOW HYDRAULICS - Analytical Solutions and Design Applications
2.Sezen, S.M. (2019). Smart Irrigation Systems in Plant Production.
3.Evett, S.R., O'Shaughnessy, S.A., & Andrade, M.A. (2012). Soil Water Sensing for Irrigation Management. Transactions of the ASABE.
Weekly Detailed Course Contents
Week 1 - Theoretical
The importance of irrigation and basic irrigation methods
Week 2 - Theoretical
Classification and management of water resources
Week 3 - Theoretical
Water needs of plants and climate factors
Week 4 - Theoretical
Limitations of traditional irrigation systems
Week 5 - Theoretical
Definition and advantages of smart irrigation systems
Week 6 - Theoretical
Soil moisture sensors and water measurement technologies
Week 7 - Theoretical
Components of automatic irrigation systems
Week 8 - Theoretical
IoT-based irrigation applications
Week 9 - Theoretical
Timers, valves and control units
Week 10 - Theoretical
Remote monitoring and mobile applications
Week 11 - Theoretical
Data-based irrigation decision systems
Week 12 - Theoretical
Irrigation in terms of energy management and sustainability
Week 13 - Theoretical
Maintenance, error analysis and security in smart systems
Week 14 - Theoretical
General review and project presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory150230
Reading1088
Individual Work1066
Midterm Examination1011
Final Examination1011
TOTAL WORKLOAD (hours)46
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
PÇ-17
PÇ-18
PÇ-19
PÇ-20
OÇ-1
2
OÇ-2
3
OÇ-3
4
OÇ-4
OÇ-5
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026