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Image Analysis to Estimate Mulch Residue in Soil
Mulching is used to improve the condition of agricultural soils by covering the soil with different materials, mainly black polyethylene (PE). However, problems derived from its use are how to remove it from the field and, in the case of it remaining in the soil, the possible effects on it. One poss...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182845/ https://www.ncbi.nlm.nih.gov/pubmed/25309953 http://dx.doi.org/10.1155/2014/617408 |
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author | Moreno, Carmen Mancebo, Ignacio Saa, Antonio Moreno, Marta M. |
author_facet | Moreno, Carmen Mancebo, Ignacio Saa, Antonio Moreno, Marta M. |
author_sort | Moreno, Carmen |
collection | PubMed |
description | Mulching is used to improve the condition of agricultural soils by covering the soil with different materials, mainly black polyethylene (PE). However, problems derived from its use are how to remove it from the field and, in the case of it remaining in the soil, the possible effects on it. One possible solution is to use biodegradable plastic (BD) or paper (PP), as mulch, which could present an alternative, reducing nonrecyclable waste and decreasing the environmental pollution associated with it. Determination of mulch residues in the ground is one of the basic requirements to estimate the potential of each material to degrade. This study has the goal of evaluating the residue of several mulch materials over a crop campaign in Central Spain through image analysis. Color images were acquired under similar lighting conditions at the experimental field. Different thresholding methods were applied to binarize the histogram values of the image saturation plane in order to show the best contrast between soil and mulch. Then the percentage of white pixels (i.e., soil area) was used to calculate the mulch deterioration. A comparison of thresholding methods and the different mulch materials based on percentage of bare soil area obtained is shown. |
format | Online Article Text |
id | pubmed-4182845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41828452014-10-12 Image Analysis to Estimate Mulch Residue in Soil Moreno, Carmen Mancebo, Ignacio Saa, Antonio Moreno, Marta M. ScientificWorldJournal Research Article Mulching is used to improve the condition of agricultural soils by covering the soil with different materials, mainly black polyethylene (PE). However, problems derived from its use are how to remove it from the field and, in the case of it remaining in the soil, the possible effects on it. One possible solution is to use biodegradable plastic (BD) or paper (PP), as mulch, which could present an alternative, reducing nonrecyclable waste and decreasing the environmental pollution associated with it. Determination of mulch residues in the ground is one of the basic requirements to estimate the potential of each material to degrade. This study has the goal of evaluating the residue of several mulch materials over a crop campaign in Central Spain through image analysis. Color images were acquired under similar lighting conditions at the experimental field. Different thresholding methods were applied to binarize the histogram values of the image saturation plane in order to show the best contrast between soil and mulch. Then the percentage of white pixels (i.e., soil area) was used to calculate the mulch deterioration. A comparison of thresholding methods and the different mulch materials based on percentage of bare soil area obtained is shown. Hindawi Publishing Corporation 2014 2014-09-17 /pmc/articles/PMC4182845/ /pubmed/25309953 http://dx.doi.org/10.1155/2014/617408 Text en Copyright © 2014 Carmen Moreno et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Moreno, Carmen Mancebo, Ignacio Saa, Antonio Moreno, Marta M. Image Analysis to Estimate Mulch Residue in Soil |
title | Image Analysis to Estimate Mulch Residue in Soil |
title_full | Image Analysis to Estimate Mulch Residue in Soil |
title_fullStr | Image Analysis to Estimate Mulch Residue in Soil |
title_full_unstemmed | Image Analysis to Estimate Mulch Residue in Soil |
title_short | Image Analysis to Estimate Mulch Residue in Soil |
title_sort | image analysis to estimate mulch residue in soil |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182845/ https://www.ncbi.nlm.nih.gov/pubmed/25309953 http://dx.doi.org/10.1155/2014/617408 |
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