Web-based computer application for tick identification in Tunisia

Out of the five tested models, “YOLOv5” achieved the best detection performance with a precision (AP) of 0.76. An experimental information architecture (IA) prototype is available for tick identification. Ongoing work aims at improving its performance under controlled conditions and assessing its re...

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Detalles Bibliográficos
Autor principal: CGIAR Research Program on Livestock
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/123479
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author CGIAR Research Program on Livestock
author_browse CGIAR Research Program on Livestock
author_facet CGIAR Research Program on Livestock
author_sort CGIAR Research Program on Livestock
collection Repository of Agricultural Research Outputs (CGSpace)
description Out of the five tested models, “YOLOv5” achieved the best detection performance with a precision (AP) of 0.76. An experimental information architecture (IA) prototype is available for tick identification. Ongoing work aims at improving its performance under controlled conditions and assessing its reliability under field conditions.
format Informe técnico
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institution CGIAR Consortium
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publishDate 2021
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spelling CGSpace1234792023-03-14T11:45:38Z Web-based computer application for tick identification in Tunisia CGIAR Research Program on Livestock models development rural development identification information systems information systems agrifood systems detection application architecture Out of the five tested models, “YOLOv5” achieved the best detection performance with a precision (AP) of 0.76. An experimental information architecture (IA) prototype is available for tick identification. Ongoing work aims at improving its performance under controlled conditions and assessing its reliability under field conditions. 2021-12-31 2022-10-06T14:40:37Z 2022-10-06T14:40:37Z Report https://hdl.handle.net/10568/123479 en Open Access application/pdf CGIAR Research Program on Livestock. 2021. Web-based computer application for tick identification in Tunisia. Reported in Livestock Annual Report 2021. Innovations.
spellingShingle models
development
rural development
identification
information systems
information
systems
agrifood systems
detection
application
architecture
CGIAR Research Program on Livestock
Web-based computer application for tick identification in Tunisia
title Web-based computer application for tick identification in Tunisia
title_full Web-based computer application for tick identification in Tunisia
title_fullStr Web-based computer application for tick identification in Tunisia
title_full_unstemmed Web-based computer application for tick identification in Tunisia
title_short Web-based computer application for tick identification in Tunisia
title_sort web based computer application for tick identification in tunisia
topic models
development
rural development
identification
information systems
information
systems
agrifood systems
detection
application
architecture
url https://hdl.handle.net/10568/123479
work_keys_str_mv AT cgiarresearchprogramonlivestock webbasedcomputerapplicationfortickidentificationintunisia