A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans

Miguel Angel Salirrosas; Gianmarco Galván; Guillermo Kemper

doi:10.1109/SHIRCON.2018.8593072

A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans

Miguel Angel Salirrosas
, Gianmarco Galván
, Guillermo Kemper

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The proposed study aims to present an algorithm for the detection of infestation of canary beans of the species 'Phaseolus Vulgaris' by generating a visible fluorescence under UV radiation, which allows the bean to be distinguished as healthy or infested. Currently, since many of the symptoms of infestation cannot be detected by the human eye, the beans sample analysis is highly subjective. The proposed method uses images of the beans taken under UV radiation within a hermetic enclosure. Then the image is acquired and an image segmentation algorithm is executed in order to identify the beans. Each bean is labeled so that the infestation can be detected by an algorithm based on histogram analysis. For the validation of the proposed method, several samples were evaluated and the results were compared with those obtained by two experts through an exhaustive visual analysis. The results were expressed through specificity and sensitivity, obtaining 99.78% for specificity and 90.70% for sensitivity.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538683743
DOIs	https://doi.org/10.1109/SHIRCON.2018.8593072
State	Published - 27 Dec 2018
Event	2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018 - Lima, Peru Duration: 20 Nov 2018 → 22 Nov 2018

Publication series

Name	Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018

Conference

Conference	2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018
Country/Territory	Peru
City	Lima
Period	20/11/18 → 22/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

canary bean
detection
image processing
infestation
sensitivity
specificity
UV radiation
visible fluorescence

Access to Document

10.1109/SHIRCON.2018.8593072

Cite this

Angel Salirrosas, M., Galván, G., & Kemper, G. (2018). A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans. In Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018 Article 8593072 (Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SHIRCON.2018.8593072

Angel Salirrosas, Miguel ; Galván, Gianmarco ; Kemper, Guillermo. / A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans. Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018).

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title = "A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans",

abstract = "The proposed study aims to present an algorithm for the detection of infestation of canary beans of the species 'Phaseolus Vulgaris' by generating a visible fluorescence under UV radiation, which allows the bean to be distinguished as healthy or infested. Currently, since many of the symptoms of infestation cannot be detected by the human eye, the beans sample analysis is highly subjective. The proposed method uses images of the beans taken under UV radiation within a hermetic enclosure. Then the image is acquired and an image segmentation algorithm is executed in order to identify the beans. Each bean is labeled so that the infestation can be detected by an algorithm based on histogram analysis. For the validation of the proposed method, several samples were evaluated and the results were compared with those obtained by two experts through an exhaustive visual analysis. The results were expressed through specificity and sensitivity, obtaining 99.78\% for specificity and 90.70\% for sensitivity.",

keywords = "canary bean, detection, image processing, infestation, sensitivity, specificity, UV radiation, visible fluorescence",

author = "\{Angel Salirrosas\}, Miguel and Gianmarco Galv{\'a}n and Guillermo Kemper",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018 ; Conference date: 20-11-2018 Through 22-11-2018",

year = "2018",

month = dec,

day = "27",

doi = "10.1109/SHIRCON.2018.8593072",

language = "Ingl{\'e}s",

series = "Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018",

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Angel Salirrosas, M, Galván, G & Kemper, G 2018, A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans. in Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018., 8593072, Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018, Lima, Peru, 20/11/18. https://doi.org/10.1109/SHIRCON.2018.8593072

A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans. / Angel Salirrosas, Miguel; Galván, Gianmarco; Kemper, Guillermo.
Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8593072 (Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans

AU - Angel Salirrosas, Miguel

AU - Galván, Gianmarco

AU - Kemper, Guillermo

PY - 2018/12/27

Y1 - 2018/12/27

N2 - The proposed study aims to present an algorithm for the detection of infestation of canary beans of the species 'Phaseolus Vulgaris' by generating a visible fluorescence under UV radiation, which allows the bean to be distinguished as healthy or infested. Currently, since many of the symptoms of infestation cannot be detected by the human eye, the beans sample analysis is highly subjective. The proposed method uses images of the beans taken under UV radiation within a hermetic enclosure. Then the image is acquired and an image segmentation algorithm is executed in order to identify the beans. Each bean is labeled so that the infestation can be detected by an algorithm based on histogram analysis. For the validation of the proposed method, several samples were evaluated and the results were compared with those obtained by two experts through an exhaustive visual analysis. The results were expressed through specificity and sensitivity, obtaining 99.78% for specificity and 90.70% for sensitivity.

AB - The proposed study aims to present an algorithm for the detection of infestation of canary beans of the species 'Phaseolus Vulgaris' by generating a visible fluorescence under UV radiation, which allows the bean to be distinguished as healthy or infested. Currently, since many of the symptoms of infestation cannot be detected by the human eye, the beans sample analysis is highly subjective. The proposed method uses images of the beans taken under UV radiation within a hermetic enclosure. Then the image is acquired and an image segmentation algorithm is executed in order to identify the beans. Each bean is labeled so that the infestation can be detected by an algorithm based on histogram analysis. For the validation of the proposed method, several samples were evaluated and the results were compared with those obtained by two experts through an exhaustive visual analysis. The results were expressed through specificity and sensitivity, obtaining 99.78% for specificity and 90.70% for sensitivity.

KW - canary bean

KW - detection

KW - image processing

KW - infestation

KW - sensitivity

KW - specificity

KW - UV radiation

KW - visible fluorescence

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M3 - Contribución a la conferencia

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BT - Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 20 November 2018 through 22 November 2018

ER -

Angel Salirrosas M, Galván G, Kemper G. A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans. In Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8593072. (Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018). doi: 10.1109/SHIRCON.2018.8593072

A Visible Fluorescence Method Induced by UV Radiation for Detection of Infestation in Canary Beans

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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