TM572 Early Warning and Prevention Technologies in Agriculture

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
AGRICULTURAL MACHINERY (MASTER) (WITH THESIS)
Code TM572
Name Early Warning and Prevention Technologies in Agriculture
Term 2025-2026 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Medet İTMEÇ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The objective of this course is to teach early warning and prevention technologies against climatic and environmental threats encountered in agriculture. These technologies focus on machines, methods, and systems used to increase agricultural productivity, ensure environmental sustainability, and combat adverse factors such as climatic problems, plant diseases, and pests.

Course Content

The course focuses on the use of early warning technologies for monitoring climatic factors and environmental data such as soil moisture and temperature, frost protection, sunburn prevention, and pest and disease detection in order to increase productivity and ensure environmental sustainability in agriculture.

Course Precondition

none

Resources

• FAO – Early Warning Systems in Agriculture • Mathews, G.A. (2008). Pesticide Application Methods • Bazı Makaleler • Tarım Bakanlığı Tahmin ve Erken Uyarı Birimi yayınları • Güncel tezler, seminerler, TÜBİTAK projeleri

Notes

Literatures


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Gains the ability to understand climatic and environmental factors and evaluate their effects on agricultural production.
LO02 Develops the ability to monitor environmental data using agricultural meteorological stations and microclimate monitoring methods.
LO03 Gains knowledge about frost protection methods (e.g., wind machines, burners) and measures to be taken against other environmental threats.
LO04 Acquires practical skills in applying chemical and technological methods used to prevent sunburn and manage plant stress.
LO05 Learns to use devices and sensors for pest and disease detection (e.g., camera traps, pheromone traps, sticky traps).
LO06 Gains information on the applications of artificial intelligence and drone technologies in pest detection, early warning, and disease management.
LO07 Develops the ability to optimize water management through smart irrigation and soil moisture monitoring systems to enhance resource efficiency.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal To understand the impact of engineering solutions in a global and societal context and gain the ability to correctly interpret it. 2
PLO02 Bilgi - Kuramsal, Olgusal MSc's degree enables graduates to expand and deepen their knowledge, access knowledge through scientific research, information, evaluation, interpretation, and application. 2
PLO03 Bilgi - Kuramsal, Olgusal To be able to complete information with scientific methods using limited or incomplete data and to apply this information with scientific and social responsibility.
PLO04 Beceriler - Bilişsel, Uygulamalı Solve problems related to the field by using research methods and establishing cause-effect relationships.
PLO05 Beceriler - Bilişsel, Uygulamalı Develops new solution theories, starting with the construction of a problem related to the area of the expertise 2
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To be able to strategically take the lead in solving original and interdisciplinary problems.
PLO07 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To be able to assess the strategic performance of workgroups and contribute to them.
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To conrtibute to the process of becoming an information society by making known social and cultural imrprovements in an academic and professional context.
PLO09 Yetkinlikler - Öğrenme Yetkinliği To be able to devise new strategic approaches in unanticipated complex situations and be able to think up solutions by taking reponsibility
PLO10 Yetkinlikler - Öğrenme Yetkinliği To recognize and apply national and international laws and regulations related to agricultural machinery and technologies. 2
PLO11 Yetkinlikler - İletişim ve Sosyal Yetkinlik The results of the studies can be conveyed systematically and clearly to groups in or outside the field, both in writing or orally, both at home and abroad, using at least one foreign language.
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses computer software and information and communication technologies at an advanced level required by the field.
PLO13 Yetkinlikler - Alana Özgü Yetkinlik Acts in accordance with ethical principles, professional and ethical responsibility, and standards used in engineering practices


Week Plan

Week Topic Preparation Methods
1 Climatic Factors Affecting Agriculture and Their Consequences Lecture Notes Öğretim Yöntemleri:
Anlatım
2 Individual Meteorological Stations for Agricultural Use (Microclimate Effects and Monitoring) LEcture Notes Öğretim Yöntemleri:
Anlatım
3 Frost Protection Methods in Agriculture (Wind Machines: Operating Principle, Efficiency Testing, Installation Recommendations) Lecture Notes Öğretim Yöntemleri:
Anlatım
4 Frost Protection Methods in Agriculture (Burners, Spray Applications, Paraffin Candle Applications) LEcture Notes Öğretim Yöntemleri:
Anlatım
5 Protection from Hail and Precipitation (Agricultural Nets: Selection According to Region, Strength Calculations, Hail Cannons) Lecture Notes Öğretim Yöntemleri:
Anlatım
6 Chemicals Used in Sunburn Prevention (Kaolin Clay and Anti-stress Application Methods) LEcture Notes Öğretim Yöntemleri:
Anlatım
7 Devices and Equipment Used in Pest and Disease Detection (Camera Traps, Pheromone Traps, Sticky Traps) Lecture Notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam LEcture Notes Ölçme Yöntemleri:
Yazılı Sınav
9 Use of Artificial Intelligence in Pest and Disease Detection LEcture Notes Ölçme Yöntemleri:
Yazılı Sınav
10 Pest and Disease Detection with Drones and Zika Lecture Notes
11 Causes of Climatic Stress in Plants and Suggested Solutions Lecture Notes
12 Importance of Drip Irrigation and Installation Design Lecture Notes Öğretim Yöntemleri:
Anlatım
13 Continuous Soil Moisture Monitoring and Smart Irrigation Systems LEcture Notes Öğretim Yöntemleri:
Anlatım
14 Term Project Lecture Notes Öğretim Yöntemleri:
Anlatım
15 term Project 2 Lecture Notes Öğretim Yöntemleri:
Anlatım
16 Term Exams Lecture Notes
17 Term Exams Lecture Notes Öğretim Yöntemleri:
Anlatım


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 3 42
Assesment Related Works
Homeworks, Projects, Others 8 8 64
Mid-term Exams (Written, Oral, etc.) 1 1 1
Final Exam 1 1 1
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 29.04.2025 04:09