Precision farming (5cr)

Evaluation scale

Passed/failed

Objective

Student knows the basics of precision farming technology and she / he is able to choose suitable systems for an example farm as well as is able to evaluate the usefulness of them. The student can use some of the technology used in the precision farming.

Content

-Principles of precision farming
-Yield monitoring systems
-Automatic guidance systems
-Basic of ISOBUS technology
-Examples of precision farming systems
- Drones

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
-Yield mapping
-Drone flying and processing the images taken during the flights
-Independent test drive

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 evaluate and choose precision farming technology to an example farm. The student get al assignments accepted at a good level.

Further information

Practical on the field and computer classroom are obligatory