Introducing Metrics to Analyse the Performance of Automatic Section Control for Agricultural Machines

Samuel Brodie, Timo Oksanen

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, three metrics are proposed and explored for the purpose of analysing and quantifying the performance of any system that uses an ISO 11783 task controller (TC) to automatically control the on/off state of its sections based on GNSS positioning. The issues that can affect TC performance are presented, and equations are shown to calculate the areas of product overlap and gaps. A theoretical example TC is presented and analysed against the proposed metrics to demonstrate the value of the metrics in detailing the performance of a TC in the real case. The causes of errors in real-world situations are discussed and their impacts on the metrics are considered.

Original languageEnglish
Pages (from-to)229-234
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume55
Issue number32
DOIs
StatePublished - 2022
Event7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL 2022 - Munich, Germany
Duration: 14 Sep 202216 Sep 2022

Keywords

  • Agricultural robotics
  • GNSS
  • ISO 11783
  • ISOBUS
  • Precision farming
  • Section control
  • Standardisation in agriculture
  • Task Controller

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