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Information
| Unit | |
| Code | SD0388 |
| Name | Digital Agriculture |
| Term | 2020-2021 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Label | NFE Non-Field Elective Courses (University) UCC University Common Course |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Mühendis ÖMER BARIŞ ÖZLÜOYMAK |
| Course Instructor |
Mühendis ÖMER BARIŞ ÖZLÜOYMAK
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Today the spread of digital technologies in all areas of life, agricultural production also takes place unique digital technological products to serve many different purposes. One of the most important uses of digital technologies in agriculture is the prevention of unnecessary use of pharmaceuticals, fertilizers, water and energy, which constitute the basic agricultural inputs, thus increasing the quality and productivity in production as well as reducing costs. It is aimed to inform students about digital agriculture and create an infrastructure with basic application examples.
Course Content
Meteorological farming stations used for agricultural prediction and early warning, plant development tracking systems, disease / pest diagnosis and early warning systems against them, yield prediction, Internet of Things, which is the communication network where physical objects are connected with each other or larger systems (Internet of Things, in short IoT) introducing the sensors, equipment and technologies used during the delivery of information on animal health and herd management and action suggestions and intervention systems in animal production, so that many processes and activities related to production are planned and executed in a more accurate and timely manner within the framework of instant data
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction of the course, an overview of Digital Agriculture, Principles of Digital Agriculture | Related topics in lecture notes and supplementary resources | |
| 2 | Benefits of Digital Agriculture (Meteorological Data Measurement, Right Time Suggestions, Early Prevention Alerts) | Related topics in lecture notes and supplementary resources | |
| 3 | Introduction of mobile systems used in digital agriculture systems and explanation of their infrastructures | Related topics in lecture notes and supplementary resources | |
| 4 | Sensors and sensor types used in Digital Agriculture | Related topics in lecture notes and supplementary resources | |
| 5 | Introducing the sensors and modules that analyze the data specific to the area where it is installed | Related topics in lecture notes and supplementary resources | |
| 6 | Technical introduction of the station with sensors in the field conditions | Related topics in lecture notes and supplementary resources | |
| 7 | Sowing, Fertilization, Spraying, Irrigation and Harvest Suggestions of the System; Disease Warning System; Effective Field Data | Related topics in lecture notes and supplementary resources | |
| 8 | Mid-Term Exam | Exam | |
| 9 | Presentation of the station that provides access to the information of the region where the farm is located (Historical Data, Disease Warning Systems, Cultivated Area Data, Air Humidity and Temperature, Weather, Frost, Storm Forecast) | Related topics in lecture notes and supplementary resources | |
| 10 | Introduction of indoor digital agricultural stations (Greenhouse, Poultry, Farm, etc.) (Disease Warning System, Animal Health and Herd Management, Yield Forecasting, Sensor Data) | Related topics in lecture notes and supplementary resources | |
| 11 | Basic principles of Digital Image Processing | Related topics in lecture notes and supplementary resources | |
| 12 | Image Processing Technology in Digital Agriculture Systems | Related topics in lecture notes and supplementary resources | |
| 13 | Introduction of camera systems used in Digital Agriculture (Pheromone Camera, Phenology Camera, etc.) | Related topics in lecture notes and supplementary resources | |
| 14 | Internet of Things and Application Examples | Related topics in lecture notes and supplementary resources | |
| 15 | Digital Agriculture Applications | Related topics in lecture notes and supplementary resources | |
| 16 | Term Exams | Exam | |
| 17 | Term Exams | Exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |