Information Package / Course Catalogue
Productivity and Agricultural Decision Support Systems
Course Code: DJTA109
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

The aim is to teach how to measure agricultural productivity and optimize production processes with decision support systems.

Course Content

Analysis is performed using productivity metrics, production planning, digital decision support software, simulations and sample scenarios.

Name of Lecturer(s)
Learning Outcomes
1.1. Explains agricultural productivity and its key factors. 2. 3. 4. . 5.
2.Describes the structure and data requirements of decision support systems.
3.Compares production scenarios to identify optimal decisions.
4.Uses basic software for efficiency and cost analysis
5.Develops digital decision models for agricultural enterprises.
Recommended or Required Reading
1.Topak, R. (2020). Karar Destek Sistemleri ile Tarımsal Planlama.
2.Beulens, A.J.M. et al. (2005). Development of decision support systems in agriculture. Computers and Electronics in Agriculture.
Weekly Detailed Course Contents
Week 1 - Theoretical
Concept of productivity and its importance in agriculture
Week 2 - Theoretical
Efficiency analysis in production processes
Week 3 - Theoretical
Decision-making in agriculture and data-driven management
Week 4 - Theoretical
Main components of decision support systems
Week 5 - Theoretical
Agricultural software and digital solutions
Week 6 - Theoretical
Input-output relationships and resource utilization
Week 7 - Theoretical
Workflow modeling and process mapping
Week 8 - Theoretical
Performance indicators and efficiency measurement
Week 9 - Theoretical
Scenario analysis and decision trees
Week 10 - Theoretical
Decision-making using cost-benefit analysis
Week 11 - Theoretical
Time management and task planning practices
Week 12 - Theoretical
Real-time data analytics and alert systems
Week 13 - Theoretical
Case studies: irrigation, fertilization, harvest timing
Week 14 - Theoretical
Student project presentations and final evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Assignment71114
Individual Work92127
Midterm Examination1112
Final Examination1112
TOTAL WORKLOAD (hours)101
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
3
OÇ-2
2
2
OÇ-3
3
OÇ-4
OÇ-5
3
Adnan Menderes University - Information Package / Course Catalogue
2026