Diagnosis of pine wilt disease using remote wireless sensing.

Pine wilt disease caused by Bursaphelenchus xylophilus is a major tree disease that threatens pine forests worldwide. To diagnose this disease, we developed battery-powered remote sensing devices capable of long-range (LoRa) communication and installed them in pine trees (Pinus densiflora) in Gyeong...

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Autores principales:	Sang-Kyu Jung, Seong Bean Park, Bong Sup Shim
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/72f00e51afbb488d93e1bb45a13e8e57
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id	oai:doaj.org-article:72f00e51afbb488d93e1bb45a13e8e57
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spelling	oai:doaj.org-article:72f00e51afbb488d93e1bb45a13e8e572021-12-02T20:14:10ZDiagnosis of pine wilt disease using remote wireless sensing.1932-620310.1371/journal.pone.0257900https://doaj.org/article/72f00e51afbb488d93e1bb45a13e8e572021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257900https://doaj.org/toc/1932-6203Pine wilt disease caused by Bursaphelenchus xylophilus is a major tree disease that threatens pine forests worldwide. To diagnose this disease, we developed battery-powered remote sensing devices capable of long-range (LoRa) communication and installed them in pine trees (Pinus densiflora) in Gyeongju and Ulsan, South Korea. Upon analyzing the collected tree sensing signals, which represented stem resistance, we found that the mean absolute deviation (MAD) of the sensing signals was useful for distinguishing between uninfected and infected trees. The MAD of infected trees was greater than that of uninfected trees from August of the year, and in the two-dimensional plane, consisting of the MAD value in July and that in October, the infected and uninfected trees were separated by the first-order boundary line generated using linear discriminant analysis. It was also observed that wood moisture content and precipitation affected MAD. This is the first study to diagnose pine wilt disease using remote sensors attached to trees.Sang-Kyu JungSeong Bean ParkBong Sup ShimPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257900 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sang-Kyu Jung Seong Bean Park Bong Sup Shim Diagnosis of pine wilt disease using remote wireless sensing.
description	Pine wilt disease caused by Bursaphelenchus xylophilus is a major tree disease that threatens pine forests worldwide. To diagnose this disease, we developed battery-powered remote sensing devices capable of long-range (LoRa) communication and installed them in pine trees (Pinus densiflora) in Gyeongju and Ulsan, South Korea. Upon analyzing the collected tree sensing signals, which represented stem resistance, we found that the mean absolute deviation (MAD) of the sensing signals was useful for distinguishing between uninfected and infected trees. The MAD of infected trees was greater than that of uninfected trees from August of the year, and in the two-dimensional plane, consisting of the MAD value in July and that in October, the infected and uninfected trees were separated by the first-order boundary line generated using linear discriminant analysis. It was also observed that wood moisture content and precipitation affected MAD. This is the first study to diagnose pine wilt disease using remote sensors attached to trees.
format	article
author	Sang-Kyu Jung Seong Bean Park Bong Sup Shim
author_facet	Sang-Kyu Jung Seong Bean Park Bong Sup Shim
author_sort	Sang-Kyu Jung
title	Diagnosis of pine wilt disease using remote wireless sensing.
title_short	Diagnosis of pine wilt disease using remote wireless sensing.
title_full	Diagnosis of pine wilt disease using remote wireless sensing.
title_fullStr	Diagnosis of pine wilt disease using remote wireless sensing.
title_full_unstemmed	Diagnosis of pine wilt disease using remote wireless sensing.
title_sort	diagnosis of pine wilt disease using remote wireless sensing.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/72f00e51afbb488d93e1bb45a13e8e57
work_keys_str_mv	AT sangkyujung diagnosisofpinewiltdiseaseusingremotewirelesssensing AT seongbeanpark diagnosisofpinewiltdiseaseusingremotewirelesssensing AT bongsupshim diagnosisofpinewiltdiseaseusingremotewirelesssensing
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Diagnosis of pine wilt disease using remote wireless sensing.

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