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A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform
Automatic and efficient plant leaf geometry parameter measurement offers useful information for plant management. The objective of this study was to develop an efficient and effective leaf geometry parameter measurement system based on the Android phone platform. The Android mobile phone was used to...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514699/ https://www.ncbi.nlm.nih.gov/pubmed/31010148 http://dx.doi.org/10.3390/s19081872 |
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author | Liu, Haiyun Ma, Xu Tao, Ming Deng, Ruoling Bangura, Kemoh Deng, Xiangwu Liu, Chuang Qi, Long |
author_facet | Liu, Haiyun Ma, Xu Tao, Ming Deng, Ruoling Bangura, Kemoh Deng, Xiangwu Liu, Chuang Qi, Long |
author_sort | Liu, Haiyun |
collection | PubMed |
description | Automatic and efficient plant leaf geometry parameter measurement offers useful information for plant management. The objective of this study was to develop an efficient and effective leaf geometry parameter measurement system based on the Android phone platform. The Android mobile phone was used to process and measure geometric parameters of the leaf, such as length, width, perimeter, and area. First, initial leaf images were pre-processed by some image algorithms, then distortion calibration was proposed to eliminate image distortion. Next, a method for calculating leaf parameters by using the positive circumscribed rectangle of the leaf as a reference object was proposed to improve the measurement accuracy. The results demonstrated that the test distances from 235 to 260 mm and angles from 0 to 45 degrees had little influence on the leafs’ geometric parameters. Both lab and outdoor measurements of leaf parameters showed that the developed method and the standard method were highly correlated. In addition, for the same leaf, the results of different mobile phone measurements were not significantly different. The leaf geometry parameter measurement system based on the Android phone platform used for this study could produce high accuracy measurements for leaf geometry parameters. |
format | Online Article Text |
id | pubmed-6514699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65146992019-05-30 A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform Liu, Haiyun Ma, Xu Tao, Ming Deng, Ruoling Bangura, Kemoh Deng, Xiangwu Liu, Chuang Qi, Long Sensors (Basel) Article Automatic and efficient plant leaf geometry parameter measurement offers useful information for plant management. The objective of this study was to develop an efficient and effective leaf geometry parameter measurement system based on the Android phone platform. The Android mobile phone was used to process and measure geometric parameters of the leaf, such as length, width, perimeter, and area. First, initial leaf images were pre-processed by some image algorithms, then distortion calibration was proposed to eliminate image distortion. Next, a method for calculating leaf parameters by using the positive circumscribed rectangle of the leaf as a reference object was proposed to improve the measurement accuracy. The results demonstrated that the test distances from 235 to 260 mm and angles from 0 to 45 degrees had little influence on the leafs’ geometric parameters. Both lab and outdoor measurements of leaf parameters showed that the developed method and the standard method were highly correlated. In addition, for the same leaf, the results of different mobile phone measurements were not significantly different. The leaf geometry parameter measurement system based on the Android phone platform used for this study could produce high accuracy measurements for leaf geometry parameters. MDPI 2019-04-19 /pmc/articles/PMC6514699/ /pubmed/31010148 http://dx.doi.org/10.3390/s19081872 Text en © 2019 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 Liu, Haiyun Ma, Xu Tao, Ming Deng, Ruoling Bangura, Kemoh Deng, Xiangwu Liu, Chuang Qi, Long A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform |
title | A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform |
title_full | A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform |
title_fullStr | A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform |
title_full_unstemmed | A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform |
title_short | A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform |
title_sort | plant leaf geometric parameter measurement system based on the android platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514699/ https://www.ncbi.nlm.nih.gov/pubmed/31010148 http://dx.doi.org/10.3390/s19081872 |
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