Determining fresh tomato weight using depth images from an AR headset

Tim Van Daalen*, Joseph Peller*, Jos Balendonck*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

2 Citations (Scopus)

Abstract

There is a need for handsfree devices in greenhouses for training and harvesting assistance. Augmented Reality could offer this in the near future. We showed that it is possible to detect ripeness characteristics of tomatoes using the 3D scanning capabilities of the HoloLens. We verified this in an experimental setup with multiple tomato varieties. Our results show the possibilities and problems of this technique for future development.

Original languageEnglish
Title of host publication7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2022
EditorsT. Oksanen
PublisherIFAC
Pages119-123
Number of pages5
Volume55
Edition32
DOIs
Publication statusPublished - 22 Nov 2022
Event7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL 2022 - Munich, Germany
Duration: 14 Sept 202216 Sept 2022

Publication series

NameIFAC-PapersOnline
PublisherElsevier
ISSN (Print)2405-8963

Conference

Conference7th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL 2022
Country/TerritoryGermany
CityMunich
Period14/09/2216/09/22

Keywords

  • Depth imaging
  • Handsfree measurement
  • HoloLens
  • Volume estimation

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