Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Smart Greenhouse and Agriculture 4.0

Course Code	: AST111
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 of this course is to explain the basic principles and concepts of digital agricultural technologies to students, to explain the technology, methods and techniques used in smart greenhouses, and to explain and teach smart greenhouse systems and applications.

Course Content

Information is provided on the following topics: Characteristics of Agricultural Activities and Agricultural Policies, Fourth Industrial Revolution and Agriculture 4.0, National e-Agriculture Strategy, Digitalization Process in Agriculture, Use of Geographic Information Systems in Agriculture, Wireless Communication Technologies Used in Smart Agriculture, Precision Agriculture Applications, and Smart Agriculture Applications.

Name of Lecturer(s)

Lec. Safiye Pınar TUNALI

Learning Outcomes

1.	Have basic knowledge about digital agricultural technologies.
2.	Gain knowledge about the use of Geographic Information Systems (GIS) for agricultural purposes.
3.	Adapts Smart Agriculture Technologies to greenhouse farming
4.	Gains data collection and analysis skills
5.	Have the ability to be open to innovations in this field, access information and produce solutions.
6.	Gains the ability to apply and develop the techniques learned.

Recommended or Required Reading

1.	Instructor's lecture notes

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to Agriculture 4.0: Definition, history, transformation phases and importance

Week 2 - Theoretical

Digitalization Process in Agriculture, Fourth Industrial Revolution and Agriculture 4.0, National e-Agriculture Strategy

Week 3 - Theoretical

Use of Geographic Information Systems in Agriculture

Week 4 - Theoretical

Wireless Communication Technologies Used in Smart Agriculture (Wireless LAN Technology, Bluetooth Technology, Low Power Wide Area Network Solutions, Cellular Network Technologies)

Week 5 - Theoretical

Wireless Communication Technologies Used in Smart Agriculture (Big Data, Cloud Computing, Internet of Things, Agriculture and 5G)

Week 6 - Theoretical

Introduction to Digital Technologies: Precision, Smart and Digital Agriculture Concepts

Week 7 - Theoretical

Precision Agriculture Applications (Digital Transformation in Agriculture, Smart Agriculture Applications, Driverless Tractors and Autonomous Agricultural Vehicles)

Week 8 - Theoretical

Precision Agriculture Applications (Use of Drones and UAVs, Robotic Systems and Robots)

Week 9 - Theoretical

Precision Agriculture Practices (Farm Management Systems and Feeding Systems)

Week 10 - Theoretical

Greenhouse techniques used in Smart Greenhouse

Week 11 - Theoretical

Greenhouse techniques used in Smart Greenhouse

Week 12 - Theoretical & Practice

Smart Greenhouse Applications

Week 13 - Theoretical & Practice

Smart Greenhouse Applications

Week 14 - Theoretical & Practice

Smart Greenhouse Applications

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	2	28
Midterm Examination	1	9	1	10
Final Examination	1	11	1	12
TOTAL WORKLOAD (hours)				50

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
OÇ-1											4	4	4	4	4	4
OÇ-2											4	4	4	4	4	4
OÇ-3											4	4	4	4	4	4
OÇ-4											4	4	4	4	4	4
OÇ-5											4	4	4	4	4	4
OÇ-6

Person Responsible for Information Package