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In Field Fruit Sizing Using A Smart Phone Application

In field (on tree) fruit sizing has value in assessing crop health and for yield estimation. As the mobile phone is a sensor and communication rich device carried by almost all farm staff, an Android application (“FruitSize”) was developed for measurement of fruit size in field using the phone camer...

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Autores principales: Wang, Zhenglin, Koirala, Anand, Walsh, Kerry, Anderson, Nicholas, Verma, Brijesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210956/
https://www.ncbi.nlm.nih.gov/pubmed/30301141
http://dx.doi.org/10.3390/s18103331
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author Wang, Zhenglin
Koirala, Anand
Walsh, Kerry
Anderson, Nicholas
Verma, Brijesh
author_facet Wang, Zhenglin
Koirala, Anand
Walsh, Kerry
Anderson, Nicholas
Verma, Brijesh
author_sort Wang, Zhenglin
collection PubMed
description In field (on tree) fruit sizing has value in assessing crop health and for yield estimation. As the mobile phone is a sensor and communication rich device carried by almost all farm staff, an Android application (“FruitSize”) was developed for measurement of fruit size in field using the phone camera, with a typical assessment rate of 240 fruit per hour achieved. The application was based on imaging of fruit against a backboard with a scale using a mobile phone, with operational limits set on camera to object plane angle and camera to object distance. Image processing and object segmentation techniques available in the OpenCV library were used to segment the fruit from background in images to obtain fruit sizes. Phone camera parameters were accessed to allow calculation of fruit size, with camera to fruit perimeter distance obtained from fruit allometric relationships between fruit thickness and width. Phone geolocation data was also accessed, allowing for mapping fruits of data. Under controlled lighting, RMSEs of 3.4, 3.8, 2.4, and 2.0 mm were achieved in estimation of avocado, mandarin, navel orange, and apple fruit diameter, respectively. For mango fruit, RMSEs of 5.3 and 3.7 mm were achieved on length and width, benchmarked to manual caliper measurements, under controlled lighting, and RMSEs of 5.5 and 4.6 mm were obtained in-field under ambient lighting.
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spelling pubmed-62109562018-11-02 In Field Fruit Sizing Using A Smart Phone Application Wang, Zhenglin Koirala, Anand Walsh, Kerry Anderson, Nicholas Verma, Brijesh Sensors (Basel) Technical Note In field (on tree) fruit sizing has value in assessing crop health and for yield estimation. As the mobile phone is a sensor and communication rich device carried by almost all farm staff, an Android application (“FruitSize”) was developed for measurement of fruit size in field using the phone camera, with a typical assessment rate of 240 fruit per hour achieved. The application was based on imaging of fruit against a backboard with a scale using a mobile phone, with operational limits set on camera to object plane angle and camera to object distance. Image processing and object segmentation techniques available in the OpenCV library were used to segment the fruit from background in images to obtain fruit sizes. Phone camera parameters were accessed to allow calculation of fruit size, with camera to fruit perimeter distance obtained from fruit allometric relationships between fruit thickness and width. Phone geolocation data was also accessed, allowing for mapping fruits of data. Under controlled lighting, RMSEs of 3.4, 3.8, 2.4, and 2.0 mm were achieved in estimation of avocado, mandarin, navel orange, and apple fruit diameter, respectively. For mango fruit, RMSEs of 5.3 and 3.7 mm were achieved on length and width, benchmarked to manual caliper measurements, under controlled lighting, and RMSEs of 5.5 and 4.6 mm were obtained in-field under ambient lighting. MDPI 2018-10-05 /pmc/articles/PMC6210956/ /pubmed/30301141 http://dx.doi.org/10.3390/s18103331 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 Technical Note
Wang, Zhenglin
Koirala, Anand
Walsh, Kerry
Anderson, Nicholas
Verma, Brijesh
In Field Fruit Sizing Using A Smart Phone Application
title In Field Fruit Sizing Using A Smart Phone Application
title_full In Field Fruit Sizing Using A Smart Phone Application
title_fullStr In Field Fruit Sizing Using A Smart Phone Application
title_full_unstemmed In Field Fruit Sizing Using A Smart Phone Application
title_short In Field Fruit Sizing Using A Smart Phone Application
title_sort in field fruit sizing using a smart phone application
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210956/
https://www.ncbi.nlm.nih.gov/pubmed/30301141
http://dx.doi.org/10.3390/s18103331
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