Title of course: Applied agricultural informatics
Code: TTGMG7048_EN
ECTS Credit points: 2
Type of teaching, contact hours
- lecture: -
- practice: 2 hours/week
- laboratory: -
Evaluation: exam
Workload (estimated), divided into contact hours:
- lecture: -
- practice: 28 hours
- laboratory: -
- home assignment: -
- preparation for the exam: 16 hours
Total: 30 hours
Year, semester: 2nd year, 3rd semester
Its prerequisite(s): -
Further courses built on it: -
Topics of course
Students will learn about spatial modelling methods used in the context of agricultural production systems and processes, data collection, data integration and decision support methods of the models. They will learn the operational tasks of agroecological potential assessment and monitoring. They will learn about the main precision agriculture sensors and decision support tools used in this field. They will be able to assess agri-environmental risks in space and time and learn about the main options for their prevention. The course will cover the following topics: IT systems in production technologies; hierarchical IT systems; computer networks and protocols; fuzzy logic, fuzzy logic management systems; artificial intelligence methods in process control; characteristics of industrial agricultural production; IT characteristics of production tools, product as information carrier; the product and the environment as information carriers; data transmission systems in agricultural technological systems; information technology in arable farming; information technology in horticulture; information technology in animal husbandry; primary product processing systems; information technology in food processing systems.
Literature
- Qin Zhang 2015 Precision Agriculture Technology for Crop Farming CRC Press ISBN 1482251086 Gerard Sylvester 2018 Drones for agriculte. FAO, https://www.taylorfrancis.com/books/precision-agriculture-technology-cr…zhang/e/10.1201/b19336
Requirements:
- for a signature
Attendance at lectures is recommended, but not compulsory.
- for a grade
The course ends in a writing examination. The minimum requirement for the test respectively is 50%. Based on the score of the test, the grade for the test is given according to the following table:
| Score | Grade |
| 0-49 fail | (1) |
| 50-64 pass | (2) |
| 65-74 satisfactory | (3) |
| 75-85 good | (4) |
| 86-100 excellent | (5) |
If the score of any test is below 50, students can take a retake test in conformity with the EDUCATION AND EXAMINATION RULES AND REGULATIONS.
Person responsible for course: Prof. dr. János Tamás, PhD, DSc, Full Professor