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Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops
The stricter legislation within the European Union for the regulation of herbicides that are prone to leaching causes a greater economic burden on the agricultural industry through taxation. Owing to the increased economic burden, research in reducing herbicide usage has been prompted. High-resoluti...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134507/ https://www.ncbi.nlm.nih.gov/pubmed/27827908 http://dx.doi.org/10.3390/s16111848 |
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author | Laursen, Morten Stigaard Jørgensen, Rasmus Nyholm Midtiby, Henrik Skov Jensen, Kjeld Christiansen, Martin Peter Giselsson, Thomas Mosgaard Mortensen, Anders Krogh Jensen, Peter Kryger |
author_facet | Laursen, Morten Stigaard Jørgensen, Rasmus Nyholm Midtiby, Henrik Skov Jensen, Kjeld Christiansen, Martin Peter Giselsson, Thomas Mosgaard Mortensen, Anders Krogh Jensen, Peter Kryger |
author_sort | Laursen, Morten Stigaard |
collection | PubMed |
description | The stricter legislation within the European Union for the regulation of herbicides that are prone to leaching causes a greater economic burden on the agricultural industry through taxation. Owing to the increased economic burden, research in reducing herbicide usage has been prompted. High-resolution images from digital cameras support the studying of plant characteristics. These images can also be utilized to analyze shape and texture characteristics for weed identification. Instead of detecting weed patches, weed density can be estimated at a sub-patch level, through which even the identification of a single plant is possible. The aim of this study is to adapt the monocot and dicot coverage ratio vision (MoDiCoVi) algorithm to estimate dicotyledon leaf cover, perform grid spraying in real time, and present initial results in terms of potential herbicide savings in maize. The authors designed and executed an automated, large-scale field trial supported by the Armadillo autonomous tool carrier robot. The field trial consisted of 299 maize plots. Half of the plots (parcels) were planned with additional seeded weeds; the other half were planned with naturally occurring weeds. The in-situ evaluation showed that, compared to conventional broadcast spraying, the proposed method can reduce herbicide usage by 65% without measurable loss in biological effect. |
format | Online Article Text |
id | pubmed-5134507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51345072017-01-03 Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops Laursen, Morten Stigaard Jørgensen, Rasmus Nyholm Midtiby, Henrik Skov Jensen, Kjeld Christiansen, Martin Peter Giselsson, Thomas Mosgaard Mortensen, Anders Krogh Jensen, Peter Kryger Sensors (Basel) Article The stricter legislation within the European Union for the regulation of herbicides that are prone to leaching causes a greater economic burden on the agricultural industry through taxation. Owing to the increased economic burden, research in reducing herbicide usage has been prompted. High-resolution images from digital cameras support the studying of plant characteristics. These images can also be utilized to analyze shape and texture characteristics for weed identification. Instead of detecting weed patches, weed density can be estimated at a sub-patch level, through which even the identification of a single plant is possible. The aim of this study is to adapt the monocot and dicot coverage ratio vision (MoDiCoVi) algorithm to estimate dicotyledon leaf cover, perform grid spraying in real time, and present initial results in terms of potential herbicide savings in maize. The authors designed and executed an automated, large-scale field trial supported by the Armadillo autonomous tool carrier robot. The field trial consisted of 299 maize plots. Half of the plots (parcels) were planned with additional seeded weeds; the other half were planned with naturally occurring weeds. The in-situ evaluation showed that, compared to conventional broadcast spraying, the proposed method can reduce herbicide usage by 65% without measurable loss in biological effect. MDPI 2016-11-04 /pmc/articles/PMC5134507/ /pubmed/27827908 http://dx.doi.org/10.3390/s16111848 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Laursen, Morten Stigaard Jørgensen, Rasmus Nyholm Midtiby, Henrik Skov Jensen, Kjeld Christiansen, Martin Peter Giselsson, Thomas Mosgaard Mortensen, Anders Krogh Jensen, Peter Kryger Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops |
title | Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops |
title_full | Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops |
title_fullStr | Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops |
title_full_unstemmed | Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops |
title_short | Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops |
title_sort | dicotyledon weed quantification algorithm for selective herbicide application in maize crops |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134507/ https://www.ncbi.nlm.nih.gov/pubmed/27827908 http://dx.doi.org/10.3390/s16111848 |
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