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Information
| Unit | FACULTY OF AGRICULTURE |
| AGRICULTURAL MACHINERY AND TECHNOLOGIES ENGINEERING PR. | |
| Code | TMT451 |
| Name | Digital Agriculture |
| Term | 2021-2022 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ALİ MUSA BOZDOĞAN |
| Course Instructor |
Prof. Dr. ALİ MUSA BOZDOĞAN
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
One of the most important areas of use of digital technologies in agriculture is the prevention of unnecessary use of pesticides, fertilizers, water and energy, which constitute basic agricultural inputs, and thus reducing costs, as well as increasing quality and efficiency in production. It is aimed to inform students about digital agriculture and to create an infrastructure with basic application examples.
Course Content
Meteorological farming stations used for agricultural forecasting and early warning, plant development tracking systems, disease / pest diagnosis and early warning systems against them, yield estimation, Internet of Things with a communication network where physical objects are linked to each other or larger systems, Introducing the sensors, equipment and technologies used during the delivery of information on animal health-related action suggestions and intervention systems in animal production to the end user.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines the concept of digital agriculture and its components |
| LO02 | Explain mobile communication systems |
| LO03 | Identifies early warning systems in agricultural production by using agricultural meteorology and data stations in production areas. |
| LO04 | Plans the spraying and irrigation works in line with the recommendations created with the data collected directly from the production areas |
| LO05 | Provides information on digital agriculture application technologies |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Knows the concepts of basic science, engineering, general agricultural and agricultural machinery and other social-cultural subjects in order to have proficiency for agricultural machinery education and get current information. | |
| PLO02 | - | Learns the use and conservation of natural and fossil energy sources in agricultural production. | |
| PLO03 | - | Learns the production methods of agricultural machinery, knows and selects materials. | |
| PLO04 | - | Be aware of the universal and social effects of professional practices, to comprehend the importance of entrepreneurship and innovation issues. | |
| PLO05 | - | Learns the basic applications of agricultural machinery in terms of setting, maintenance, field using and related problems. | |
| PLO06 | - | Applies sustainable production models which are suitable for mechanization in agricultural enterprises, creates and manages the optimum mechanization chain. | |
| PLO07 | - | Knows and applies the standards, laws and regulations of agricultural machinery. | |
| PLO08 | - | Identifies the problems that can be solved within the scope of agricultural mechanization in plant and animal production and makes selection from existing agricultural machinery. | |
| PLO09 | - | Learns and applies the methods for self-improvement in a professional sense. | |
| PLO10 | - | Plans and manages the production, marketing and service network of agricultural machinery. | |
| PLO11 | - | Have general proficiency on basic engineering and agricultural engineering, specifically in the field of Agricultural Machinery. | |
| PLO12 | - | Supports the companies working in the field of agricultural machinery for R & D and technology development. | |
| PLO13 | - | Learns new applications and software for agricultural machinery design. | |
| PLO14 | - | Communicates with the representatives of the manufacturing industry, public institutions and professional chambers of the agricultural machinery sector within the scope of internship, practice and current problems monitoring and takes responsibility in different working environments. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction of the course, an overview of Digital Agriculture, Principles of Digital Agriculture | Reviewing literature | |
| 2 | Benefits of Digital Agriculture (Meteorological Data Measurement, Right Time Suggestions, Early Prevention Alerts) | Reviewing literature | |
| 3 | Introduction of mobile systems used in digital agriculture systems and explanation of their infrastructures | Reviewing literature | |
| 4 | Sensors and sensor types used in Digital Agriculture | Reviewing literature | |
| 5 | Introduction of sensors and modules that analyze the data it receives specific to the area where it is installed | Reviewing literature | |
| 6 | Technical description of the stations where the sensors are located in the field conditions | Reviewing literature | |
| 7 | Planting, Fertilization, Spraying, Irrigation and Harvest Suggestions of the System; Disease Warning System; Effective Field Data | Reviewing literature | |
| 8 | Mid-Term Exam | Mid-term Exam | |
| 9 | The presentation of the station that provides access to the information about the region in which the land is located (Historical Data, Disease Warning Systems, Cultivated Area Data, Air Humidity and Temperature, Weather, Frost, Storm Forecast) | Reviewing literature | |
| 10 | Introduction of indoor digital farming stations (Greenhouse, Poultry, Farm, etc.) (Disease Warning System, Animal Health and Herd Management, Yield Estimation, Sensor Data) | Reviewing literature | |
| 11 | Basic principles of Digital Image Processing | Reviewing literature | |
| 12 | Image Processing Technology in Digital Agricultural Systems | Reviewing literature | |
| 13 | Introduction of camera systems used in Digital Agriculture (Pheromone Camera, Phenology Camera, etc.) | Reviewing literature | |
| 14 | Internet of Things Concept and Application Examples | Reviewing literature | |
| 15 | Digital Agriculture Applications | Reviewing literature | |
| 16 | Term Exams | Term Exam | |
| 17 | Term Exams | Term 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 |