Diagnosis of pine wilt disease using remote wireless sensing.
PLoS One
; 16(9): e0257900, 2021.
Article
em En
| MEDLINE
| ID: mdl-34559856
ABSTRACT
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Doenças das Plantas
/
Pinus
/
Tecnologia de Sensoriamento Remoto
/
Nematoides
Tipo de estudo:
Diagnostic_studies
Limite:
Animals
País como assunto:
Asia
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article