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Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping

Phenotyping is the task of measuring plant attributes for analyzing the current state of the plant. In agriculture, phenotyping can be used to make decisions concerning the management of crops, such as the watering policy, or whether to spray for a certain pest. Currently, large scale phenotyping in...

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Detalles Bibliográficos
Autores principales: Vit, Adar, Shani, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308665/
https://www.ncbi.nlm.nih.gov/pubmed/30551636
http://dx.doi.org/10.3390/s18124413
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author Vit, Adar
Shani, Guy
author_facet Vit, Adar
Shani, Guy
author_sort Vit, Adar
collection PubMed
description Phenotyping is the task of measuring plant attributes for analyzing the current state of the plant. In agriculture, phenotyping can be used to make decisions concerning the management of crops, such as the watering policy, or whether to spray for a certain pest. Currently, large scale phenotyping in fields is typically done using manual labor, which is a costly, low throughput process. Researchers often advocate the use of automated systems for phenotyping, relying on the use of sensors for making measurements. The recent rise of low cost, yet reasonably accurate, RGB-D sensors has opened the way for using these sensors in field phenotyping applications. In this paper, we investigate the applicability of four different RGB-D sensors for this task. We conduct an outdoor experiment, measuring plant attribute in various distances and light conditions. Our results show that modern RGB-D sensors, in particular, the Intel D435 sensor, provides a viable tool for close range phenotyping tasks in fields.
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spelling pubmed-63086652019-01-04 Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping Vit, Adar Shani, Guy Sensors (Basel) Article Phenotyping is the task of measuring plant attributes for analyzing the current state of the plant. In agriculture, phenotyping can be used to make decisions concerning the management of crops, such as the watering policy, or whether to spray for a certain pest. Currently, large scale phenotyping in fields is typically done using manual labor, which is a costly, low throughput process. Researchers often advocate the use of automated systems for phenotyping, relying on the use of sensors for making measurements. The recent rise of low cost, yet reasonably accurate, RGB-D sensors has opened the way for using these sensors in field phenotyping applications. In this paper, we investigate the applicability of four different RGB-D sensors for this task. We conduct an outdoor experiment, measuring plant attribute in various distances and light conditions. Our results show that modern RGB-D sensors, in particular, the Intel D435 sensor, provides a viable tool for close range phenotyping tasks in fields. MDPI 2018-12-13 /pmc/articles/PMC6308665/ /pubmed/30551636 http://dx.doi.org/10.3390/s18124413 Text en © 2018 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
Vit, Adar
Shani, Guy
Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
title Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
title_full Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
title_fullStr Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
title_full_unstemmed Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
title_short Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
title_sort comparing rgb-d sensors for close range outdoor agricultural phenotyping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308665/
https://www.ncbi.nlm.nih.gov/pubmed/30551636
http://dx.doi.org/10.3390/s18124413
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