ULG573002 Data sources in smart crop farming (in Eng.)

Art
Vorlesung und Exkursion
Semesterstunden
2
Vortragende/r (Mitwirkende/r)
Organisation
Angeboten im Semester
Wintersemester 2022/23
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

GNSS and steering systems in precision farming:
Positioning, error correction and
accuracy of GNSS systems

Automated steering systems in agriculture

Biosystem sensors
Sensors overview: sensible element
> transduction
> amplifier
> conditioning control

Proximal sensing
Electrical/electromagnetic, optical, electrochemical. Examples: NIRS, hyperspectral
imaging, machine vision, RFID, proximity, on the go
Lehrziel

Participants are able to understand and applicate the functionality of existing GNSS tools to determine error corrections in agriculture and select appropriate systems for agriculture machinery.
Participants are able to evaluate different technologies and tools offered on the market
Participants can evaluate the potential, benefits and drawback of automated steering systems in agriculture and for precision crop farming
Participants gain knowledge about the physical basics of biosensors to be able to design sensor concepts for future applications in agriculture and know about the errors which can appear
Noch mehr Informationen zur Lehrveranstaltung, wie Termine oder Informationen zu Prüfungen, usw. finden Sie auf der Lehrveranstaltungsseite in BOKUonline.