Information Package / Course Catalogue
Phytoclinic
Course Code: ZBK514
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The course aims to analyze and pre-diagnose microscopic and macroscopic images of symptoms caused by abiotic and biotic factors in culture plants selected as models.

Course Content

The course aims to analyze and pre-diagnose microscopic and macroscopic images of symptoms caused by abiotic and biotic factors in culture plants selected as models. In addition, the methods used in the collection of healthy and accurate data, data collection tools and data obtained from the evaluation of the computer environment is explained.

Name of Lecturer(s)
Learning Outcomes
1.
2.
3.
4.
5.
6.
Recommended or Required Reading
1.Russ, J. C. The Image Processing Handbook, CRC Press, ISBN: 0849325323
2.http://www.ohio-distinctive.com/galleries/insects/
3.Nilsson, H. 1995. Remote Sensing and Image Analysis in Plant Pathology, Annual Review of Phytopathology 33:489-528.
4.http://www.diagnosis.co.nz/get.htm
5.http://plantclinic.cornell.edu/
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Analysis of symptoms caused by disease factors in model plants
Week 2 - Theoretical & Practice
Analysis of symptoms caused by disease factors in model plants
Week 3 - Theoretical & Practice
Symptoms caused by abiotic factors in model plants
Week 4 - Theoretical & Practice
Computer image transfer and processing program presentation
Week 5 - Theoretical & Practice
Computer image transfer and processing program presentation
Week 6 - Theoretical & Practice
Survey methods
Week 7 - Theoretical & Practice
Survey methods
Week 8 - Theoretical & Practice
Determination of incidence, damage and currency rates
Week 9 - Theoretical & Practice
Sampling methods and sampling
Week 10 - Theoretical & Practice
Sending, labeling, keeping and storing of samples
Week 11 - Theoretical & Practice
Data loggers (Hobo, Watchdog, GPS) and introduction
Week 12 - Theoretical & Practice
Data processing, software introduction
Week 13 - Theoretical & Practice
Utilization of remote sensing techniques in plant protection
Week 14 - Theoretical & Practice
Utilization of remote sensing techniques in plant protection
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Term Project104444
Reading140228
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
OÇ-1
3
3
2
OÇ-2
2
5
OÇ-3
4
2
OÇ-4
3
1
OÇ-5
3
OÇ-6
5
3
Adnan Menderes University - Information Package / Course Catalogue
2026