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Smart Farming in Crop ProductionLaajuus (5 cr)

Code: 9A00CY59

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

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.

Enrollment

17.04.2023 - 06.09.2023

Timing

30.08.2023 - 15.10.2023

Credits

5 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
  • Juha Tiainen
  • Jori Lahti
Student groups
  • AGRO21PR
    Agrologi (AMK)
  • MAGRO21
  • AGRO21TA
    Agrologi (AMK)
  • AGRO20PR
  • AGRO20TA
  • IEPFF23F
    From Field to Fork

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

-Contact teaching
-Practical exercises
-Literal assignments

Student workload

Total work load of the course is 134 h of which
-Lectures 24 h
-Practical exercises 19 h
-Independent study and assignments 91 h

Evaluation scale

1-5

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.