Robotic intra-row weed hoeing in maize and sugar beet

A prototype of robotic intra-row weed hoeing in maize and sugar beet is presented in this study. Weeds in the crop rows were identified using a bi-spectral image analysis system and shape analysis. Positions of weeds in the images were recorded. Selective weed control in the row was performed with a...

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Main Authors: Gerhards, Roland, Sökefeld, Markus, Peteinatos, Gerassimos, Nabout A, Adnan, Maler, Johann, Risser, Peter
Format: Article
Language:deu
Published: Julius Kühn-Institut 2016-02-01
Series:Julius-Kühn-Archiv
Subjects:
Online Access:http://pub.jki.bund.de/index.php/JKA/article/view/6204/5888
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author Gerhards, Roland
Sökefeld, Markus
Peteinatos, Gerassimos
Nabout A, Adnan
Maler, Johann
Risser, Peter
author_facet Gerhards, Roland
Sökefeld, Markus
Peteinatos, Gerassimos
Nabout A, Adnan
Maler, Johann
Risser, Peter
author_sort Gerhards, Roland
collection DOAJ
description A prototype of robotic intra-row weed hoeing in maize and sugar beet is presented in this study. Weeds in the crop rows were identified using a bi-spectral image analysis system and shape analysis. Positions of weeds in the images were recorded. Selective weed control in the row was performed with a modified finger weeder driven by electrical motors. Speed of the finger weeder was increased at positions where only weeds were classified. The system was triggered by an encoder and controlled by a micro-controller.
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spelling doaj.art-5b2bf6a93dc040efb8c947df1ba843ae2022-12-21T18:22:36ZdeuJulius Kühn-InstitutJulius-Kühn-Archiv1868-98921868-98922016-02-0145246246310.5073/jka.2016.452.062Robotic intra-row weed hoeing in maize and sugar beetGerhards, Roland0Sökefeld, Markus1Peteinatos, Gerassimos2Nabout A, Adnan3Maler, Johann4Risser, Peter5University of Hohenheim, Stuttgart, GermanyUniversity of Hohenheim, Stuttgart, GermanyUniversity of Hohenheim, Stuttgart, GermanyUniversity of Wuppertal, GermanySüdzucker AG Mannheim, GermanySüdzucker AG Mannheim, GermanyA prototype of robotic intra-row weed hoeing in maize and sugar beet is presented in this study. Weeds in the crop rows were identified using a bi-spectral image analysis system and shape analysis. Positions of weeds in the images were recorded. Selective weed control in the row was performed with a modified finger weeder driven by electrical motors. Speed of the finger weeder was increased at positions where only weeds were classified. The system was triggered by an encoder and controlled by a micro-controller.http://pub.jki.bund.de/index.php/JKA/article/view/6204/5888digital image analysismechanical weed controlprecision farming
spellingShingle Gerhards, Roland
Sökefeld, Markus
Peteinatos, Gerassimos
Nabout A, Adnan
Maler, Johann
Risser, Peter
Robotic intra-row weed hoeing in maize and sugar beet
Julius-Kühn-Archiv
digital image analysis
mechanical weed control
precision farming
title Robotic intra-row weed hoeing in maize and sugar beet
title_full Robotic intra-row weed hoeing in maize and sugar beet
title_fullStr Robotic intra-row weed hoeing in maize and sugar beet
title_full_unstemmed Robotic intra-row weed hoeing in maize and sugar beet
title_short Robotic intra-row weed hoeing in maize and sugar beet
title_sort robotic intra row weed hoeing in maize and sugar beet
topic digital image analysis
mechanical weed control
precision farming
url http://pub.jki.bund.de/index.php/JKA/article/view/6204/5888
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