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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| FIELD CROPS (MASTER) (WITH THESIS) | |
| Code | TB595 |
| Name | Plant Phenotyping Using Image Processing |
| Term | 2026-2027 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-1 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3.5 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi ESRA ÇAKIR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to teach imaging techniques and image processing methods used in plant phenotyping, and to enable students to analyze plant traits (such as leaf area, growth, and stress conditions) through images, as well as to develop skills in artificial intelligence and digital-based phenotyping applications.
Course Content
This course covers advanced imaging systems and image processing techniques used in plant phenotyping. The content includes RGB (Red-Green-Blue) imaging for analyzing leaf color and morphology; multispectral imaging for assessing plant health and stress using multiple wavelength bands; hyperspectral imaging for analyzing chemical and physiological plant traits using hundreds of narrow spectral bands; and thermal imaging for detecting plant surface temperature, water stress, and stomatal closure. It also includes the calculation and interpretation of NDVI (Normalized Difference Vegetation Index) for assessing vegetation greenness and photosynthetic activity, and SPAD measurements for estimating leaf chlorophyll and nitrogen status. In addition, the course covers image preprocessing, morphological analysis, object detection, classification, drone- and sensor-based phenotyping applications, and artificial intelligence-based phenotyping approaches.
Course Precondition
None
Resources
WHEAT Physiological Breeding I/II: A Field Guide to Wheat Phenotyping
Notes
Wheat InitiATive Crop Health Alliance (WATCH-A) About WATCH-A/ https://www.wheatinitiative.org/watcha?
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains knowledge about LiDAR, RGB, multispectral, hyperspectral, and thermal imaging systems used in cereals, and is able to explain their principles and applications in plant phenotyping studies. |
| LO02 | Calculates and interprets indices such as NDVI and SPAD, and evaluates plant photosynthetic activity, chlorophyll content, and nutritional status. |
| LO03 | Data Collection and Digital Phenotyping: Collects data using different imaging sensors in field and controlled environment experiments, processes the acquired images, and performs digital phenotyping of plant traits. |
| LO04 | Stress Detection and Yield Analysis: Uses imaging data to detect abiotic and biotic stress symptoms in cereals, analyzes plant growth trends, and makes inferences for yield estimation. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Graduates become a specialist on the field crops area by improving their skills. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | They comprehend interdisciplinary interaction in his specialization area. | 4 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | They can follow the latest developments in field crops area and get access to the knowledge source, gather this knowledge, reach new knowledge and synthesize by evaluating available studies and follow the innovations in his field. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | They can synthesize and interpret interdisciplinary knowledge by using theoretical and practical skills at a specialist level in field crops area. | |
| PLO05 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They find solutions for problems related to field crops by using research methods and establish cause effect relationships. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They incorporate their knowledge on his special area by combining their knowledge with those from the other scientific areas and produce new knowledge and also solve the problems by using scientific research methods. | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They determine a problem independently in field crops subject, provide solutions, evaluate the results and implement whenever required. | |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They are qualified to solve a problem in their field. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They are equipped with analytical and critical thinking ability to direct their learning and to conduct advanced studies in their fields independently. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They transfer current developments and their own studies in the field crops area systematically to the his working group and to different groups from other study fields orally or visually by supporting them with qualitative and quantitive data. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | They study and improve the social relationships and standards leading these relationship by a critical point of view and take action when needed. | |
| PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | They are able to understand and translate an article written in a foreign language. | |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | They develop policy, strategy and experimental plans related to field crops area and evaluate obtained results within the framework of quality processes. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course overview and introduction to plant phenotyping | Review of basic course-related reading materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Imaging and color-based analysis and basic concepts | Reading articles on imaging and color-based analysis | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | NDVI and multispectral-based phenotyping | Reading on NDVI and multispectral calculations | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Tartışma |
| 4 | Importance of plant morphology and basic phenotyping parameters | Reading on plant morphology and basic concepts | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Soru-Cevap, Tartışma |
| 5 | SPAD measurements and chlorophyll indices | Reading on SPAD sensor usage and literature | Öğretim Yöntemleri: Gösterip Yaptırma, Anlatım, Tartışma |
| 6 | Image preprocessing techniques | Reading course-related materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Plant, leaf and canopy measurements | Reading on plant area and health analysis | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 8 | Mid-Term Exam | Determination of assignment topic | Ölçme Yöntemleri: Ödev |
| 9 | Image analysis and phenotyping indices | Reading on NDVI and SPAD calculations | Yöntem Seçilmemiş |
| 10 | Drone and sensor-based phenotyping | Reading course-related materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Canopy measurements and density analysis | Canopeo application and LAI calculations | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Gösterip Yaptırma |
| 12 | Phenotyping data analysis and reporting | Data analysis and report writing | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama, Soru-Cevap |
| 13 | Advanced imaging approaches (lıdaretc) | Review of recent articles | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 14 | NDVI and other indices with LAI | Reading course-related materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Overall evaluation and feedback | Review of course materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 16 | Term Exams | Final exam preparation | Ölçme Yöntemleri: Sözlü Sınav |
| 17 | Term Exams | Final exam preparation | Ölçme Yöntemleri: Sözlü Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
| Final Exam | 1 | 13 | 13 |
| Total Workload (Hour) | 150 | ||
| Total Workload / 25 (h) | 6,00 | ||
| ECTS | 6 ECTS | ||