Melon recognition in UAV images to estimate yield of a breeding process

Artium Dashuta, Iftach Klapp

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

1 Scopus citations

Abstract

We propose an algorithmic pipeline for automated yield tracking from images of a melon field captured by a drone. Gathering exact yield statistics automatically saves on an otherwise labor-intensive task.

Original languageEnglish
Title of host publicationOptics and Photonics for Energy and the Environment, EE 2018
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580477
DOIs
StatePublished - 2018
Externally publishedYes
EventOptics and Photonics for Energy and the Environment, EE 2018 - Singapore, Singapore
Duration: 5 Nov 20188 Nov 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F118-EE 2018
ISSN (Electronic)2162-2701

Conference

ConferenceOptics and Photonics for Energy and the Environment, EE 2018
Country/TerritorySingapore
CitySingapore
Period5/11/188/11/18

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).

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