Agricultural, meteorological, phenolic etc. Gathering data with methods and transferring the necessary information to make informed decisions with data processing based on models, explaining how information systems can be used to increase agricultural production.
Data collection by methods such as sensors, soil analysis, satellite tracking. Processing of collected data with cloud operations and artificial intelligence algorithms, data processing based on models, decision-supported forecasting and reporting.
Vertical Tabs
Course Learning Outcomes
Course Learning Outcomes |
Program Learning Outcomes |
Teaching Methods |
Assessment Methods |
Can define the technologies used in data collection for agricultural production. |
5,11 |
1,2,3 |
A,B,C,E |
Can collect necessary data for agricultural production. |
5,11 |
1,2,3 |
A,B,C,E |
Can model the data it collects. |
5,11 |
1,2,3 |
A,B,C,E |
Can make decision-supported predictions with data. |
5, 11 |
1,2,3 |
A,B,C,E |
Can use information technologies to increase agricultural production and reduce inputs. |
5,11 |
1,2,3 |
A,B,C,E |
Can report the data it has obtained and the decisions based on this data. |
8,9,11 |
1,2,3 |
A,B,C,E |
Course Flow
COURSE CONTENT |
||
Week |
Topics |
Study Materials |
1 |
Introduction to agricultural information systems |
Lecture notes |
2 |
Data collection methods |
Lecture notes |
3 |
Data collection methods |
Lecture notes |
4 |
Modeling of data |
Lecture notes |
5 |
Modeling of data |
Lecture notes |
6 |
Data-based forecast: Drought, disease, yield, etc. predictions |
Lecture notes |
7 |
Data-based forecast: Drought, disease, yield, etc. predictions |
Lecture notes |
8 |
Midterm |
Lecture notes |
9 |
Reporting decision-supported forecasts and transforming data into the value chain |
Lecture notes |
10 |
Case study |
Lecture notes |
11 |
Case study |
Lecture notes |
12 |
Case study |
Lecture notes |
13 |
Case study |
Lecture notes |
14 |
Recap |
Lecture notes |
Recommended Sources
RECOMMENDED SOURCES |
|
Lecture Notes |
|
Additional Resources |
Textbook and other recommended books |
Material Sharing
MATERIAL SHARING |
|
Documents |
Lecture Notes |
Assignments |
Homework, Presentation |
Exams |
Midterm, Final exam |
Assessment
ASSESSMENT |
||
IN-TERM STUDIES |
NUMBER |
PERCENTAGE |
Midterm |
|
60 |
Homework & case studies |
20 |
|
Presentation |
|
20 |
Total |
|
100 |
Final to Success |
|
40 |
Semester to Success |
|
60 |
Total |
|
100 |
Course’s Contribution to Program
COURSE'S CONTRIBUTION TO PROGRAM |
|||||||
No |
Program Learning Outcomes |
Contribution |
|||||
1 |
2 |
3 |
4 |
5 |
|||
1 |
To be able to comprehend the economic problems of agriculture; collecting, analyzing and interpreting data at micro and macro levels for economic applications; analyzing the ways of increasing production by applying the basic principles of economy in agriculture; to make the right decision for the future; to produce project based solutions; ability to apply with contemporary techniques. |
|
|
|
|
|
|
2 |
To be able to monitor national and international agricultural markets, to understand the behavior of market actors; ability to predict the effects of economic and political developments on the Turkish agricultural sector, and interpret and make decisions. |
|
|
|
|
||
3 |
Marketing of agricultural products by using marketing principles and methods; have the basic knowledge about market research and ability to interpret. |
|
|
|
|
|
|
4 |
Agricultural production tools, equipment, methods and equipment to recognize; application of plant and animal production techniques and models; Ability to use the theoretical and practical knowledge related to plant breeding, plant breeding, seed production, genetics, physiology, ecology, biotechnology, plant gene resources, organic agriculture and meadow-pasture management in the field of field crops. |
|
|
|
|
||
5 |
To develop and deepen their knowledge in the field of information systems at the level of expertise; interpreting and integrating the information acquired in information systems with the information coming from related disciplines; ability to develop new approaches to complex problems in applications in information systems. |
|
|
|
X |
||
6 |
To be able to master scientific resources and jurisprudence in the field of law; to be able to make comparative law analysis in national and international field; to ensure that the knowledge acquired in the field of law is transferred to the social and economic field; to have the ability of interdisciplinary analysis. |
|
|
|
|
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7 |
Ability to set goals and objectives for the organization / institution; information on project management, risk management and change management; awareness about entrepreneurship and innovation; awareness of occupational health and safety issues; information on sustainable development. |
|
|
|
|
||
8 |
Ability to communicate effectively in oral and written English; the ability to write and understand effective reports, to make effective presentations, to give and receive clear and understandable instructions. |
|
|
|
X |
||
9 |
Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. |
X |
|||||
10 |
To act in accordance with ethical principles, professional and ethical responsibility awareness; the ability to inform the society on issues related to biodiversity, natural resources, air, water, soil pollution, recycling, environmental sensitivity, environmental protection. |
|
|||||
11 |
Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. |
X |
|
ECTS
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION |
|||
Activities |
Quantity |
Duration (Hour) |
Total Work Load (Hour) |
Course hours (Including exams week: 15xtotal lecture hour) |
14 |
2 |
28 |
Study hours out of class (Pre-study, practice) |
14 |
6 |
84 |
Midterm |
1 |
2 |
2 |
Homework |
6 |
3 |
18 |
Presentation |
2 |
4 |
8 |
Final |
1 |
3 |
3 |
Total Work Load |
143 |
||
Total Work Load / 25 (h) |
5,72 |
||
ECTS Credit of the Course |
|
|
6 |