Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing

Bibliographic Details
Main Author: Ávila, Mariana
Publication Date: 2024
Other Authors: Pinelo, João, Casas, Enrique, Capinha, César, Pabst, Rebecca, Szczesniak, Iga, Domingues, Elizabeth, Pinto, Carlos, Santos, Valentina, Gil, Artur, Arbelo, Manuel
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/173029
Summary: This research was funded by PO ACORES 2020 program, grant code ACORES-01-0247-FEDER-000046. Publisher Copyright: © 2024 by the authors.
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spelling Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote SensingThe Case Study of Terceira Island (Azores, Portugal)climatic variablesIoTpithomycotoxicosisremote sensingSentinel-2spectral signaturespectroradiometryAnalytical ChemistryInformation SystemsAtomic and Molecular Physics, and OpticsBiochemistryInstrumentationElectrical and Electronic EngineeringThis research was funded by PO ACORES 2020 program, grant code ACORES-01-0247-FEDER-000046. Publisher Copyright: © 2024 by the authors.Spores from the fungus Pithomyces chartarum are commonly found on Azorean pastures. When consumed by cattle along with the grass, these spores cause health issues in the cattle, resulting in animal suffering and financial losses. For approximately two years, we monitored meteorological parameters using weather stations and collected and analyzed grass samples in a laboratory to control for the presence of spores. The data confirmed a connection between meteorology and sporulation, enabling the prediction of sporulation risk. To detect the presence of spores in pastures rather than predict it, we employed field spectrometry and Sentinel-2 reflectance data to measure the spectral signatures of grass while controlling for spores. Our findings indicate that meteorological variables from the past 90 days can be used to predict sporulation, which can enhance the accuracy of a web-based alert system used by farmers to manage the risk. We did not detect significant differences in spectral signatures between grass with and without spores. These studies contribute to a deeper understanding of P. chartarum sporulation and provide actionable information for managing cattle, ultimately improving animal welfare and reducing financial losses.Instituto de Higiene e Medicina Tropical (IHMT)Global Health and Tropical Medicine (GHTM)RUNÁvila, MarianaPinelo, JoãoCasas, EnriqueCapinha, CésarPabst, RebeccaSzczesniak, IgaDomingues, ElizabethPinto, CarlosSantos, ValentinaGil, ArturArbelo, Manuel2024-10-04T22:26:38Z2024-072024-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/173029eng1424-8220PURE: 100672629https://doi.org/10.3390/s24144485info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-14T01:38:55Zoai:run.unl.pt:10362/173029Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:55:32.104847Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
The Case Study of Terceira Island (Azores, Portugal)
title Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
spellingShingle Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
Ávila, Mariana
climatic variables
IoT
pithomycotoxicosis
remote sensing
Sentinel-2
spectral signature
spectroradiometry
Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering
title_short Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
title_full Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
title_fullStr Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
title_full_unstemmed Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
title_sort Assessing the Presence of Pithomyces chartarum in Pastureland Using IoT Sensors and Remote Sensing
author Ávila, Mariana
author_facet Ávila, Mariana
Pinelo, João
Casas, Enrique
Capinha, César
Pabst, Rebecca
Szczesniak, Iga
Domingues, Elizabeth
Pinto, Carlos
Santos, Valentina
Gil, Artur
Arbelo, Manuel
author_role author
author2 Pinelo, João
Casas, Enrique
Capinha, César
Pabst, Rebecca
Szczesniak, Iga
Domingues, Elizabeth
Pinto, Carlos
Santos, Valentina
Gil, Artur
Arbelo, Manuel
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Higiene e Medicina Tropical (IHMT)
Global Health and Tropical Medicine (GHTM)
RUN
dc.contributor.author.fl_str_mv Ávila, Mariana
Pinelo, João
Casas, Enrique
Capinha, César
Pabst, Rebecca
Szczesniak, Iga
Domingues, Elizabeth
Pinto, Carlos
Santos, Valentina
Gil, Artur
Arbelo, Manuel
dc.subject.por.fl_str_mv climatic variables
IoT
pithomycotoxicosis
remote sensing
Sentinel-2
spectral signature
spectroradiometry
Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering
topic climatic variables
IoT
pithomycotoxicosis
remote sensing
Sentinel-2
spectral signature
spectroradiometry
Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering
description This research was funded by PO ACORES 2020 program, grant code ACORES-01-0247-FEDER-000046. Publisher Copyright: © 2024 by the authors.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-04T22:26:38Z
2024-07
2024-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/173029
url http://hdl.handle.net/10362/173029
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
PURE: 100672629
https://doi.org/10.3390/s24144485
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833597758718607360

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