Guidelines of modern agrotechnology (5cr)
Code: 9A00BX05-3001
General information
- Enrollment
- 19.04.2021 - 30.08.2021
- Registration for the implementation has ended.
- Timing
- 30.08.2021 - 31.12.2021
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Teaching languages
- Finnish
- English
- Seats
- 0 - 20
- Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
- Teachers
- Juha Tiainen
- Jori Lahti
- Arja Nykänen
- Course
- 9A00BX05
Evaluation scale
Passed/failed
Content scheduling
Expert lectures, field and computer classroom activities are obligatory.
Objective
The student is able to evaluate the suitability of new solutions in the agrotechnology field as an enhancer of agricultural production processes and is currently able to utilize information in the development of exemplary state of the art technologies. They are able to introduce versatile technologies for cultivation measures and to describe the technological basics of precision farming. He / she is able to choose different cultivation technologies and assess their relevance and usability.
Content
- New innovations in agrotechnology
- Precision farming concept and technology
- Harvesting Equipment
- Driving signals and automatic steering
- ISOBUS equipment principles
- Drones and utilizing the image information they produce, practice
- Commercial examples and their use
Materials
-Pesonen, L., Kaivosoja, J. ja Suomi P. 2010. Täsmäviljely ja ravinteiden käytön
tarkentaminen. Teho-hankkeen julkaisuja 5/2010. Saatavana: https://www.doria.fi/bitstream/handle/10024/94183/T%C3%A4sm%C3%A4viljely%20ja%20ravinteiden%20k%C3%A4yt%C3%B6n%20tarkentaminen.pdf?sequence=2
-Riikonen, A. 2017. Big Data päätöksenteon apuvälineenä kasvinviljelytilalla. YAMK opinnäytetyö. Savonia. Saatavana: https://www.theseus.fi/bitstream/handle/10024/131282/Riikonen_Aila.pdf?sequence=1&isAllowed=y
-Material gathered during the studies
Teaching methods
-Lectures
-Expert lectures in and out of the campus
-Drone flying and processing the images taken during the flights
-Spatial analysis of the data (open sources, yield maps, drone and satellite imagery...) using GIS
Student workload
Total work load of the course: 134 h
-Lectures 20 h
-Practical on the field 12 h
-Practical in the computer classroom 12 h
-Independent studying and assignment 90 h
Assessment criteria, approved/failed
The student can analyze the adaptability of precision farming technologies and pick suitable solutions to example cases. He/she is capable of adjusting and using some precision farming technologies. He/she carries out all assignments of the course and knows the basics of drone piloting and processing of geoinformation.
Assessment criteria, approved/failed
Accepted: The student is able to analyze the possibilities of new innovations in agrotechnology for Finnish farms. The student is, also, able to evaluate and choose precision farming technology to an example farm. The student get all assignments accepted at a good level.