Results 11 to 20 of about 3,009 (179)
Growth properties of pine trees died from pine wilt disease [PDF]
, 2013 Are there any traits in appearance of dead trees in the early stage of massive pine death caused by pine wilt disease? In other words, what is the landmark for Monochamus species as a vector choosing pine trees for after-ripening? The study was conducted
Ikeda, Takefumi +2 more
core +85 more sources
Pine Wilt Disease: A Threat to Pine Forests in Turkey? [PDF]
, 2008 The pinewood nematode (PWN), is the causal agent of pine wilt disease, and constitute one of the most important pathogens of conifer forests. In 1999, this nematode was found and identified for the first time in Portugal and in Europe. The detection of this quarantine pest in Portugal has prompted the need to know more about the distribution of ...
Akbulut, Süleyman +4 more
openaire +5 more sources
Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images [PDF]
Frontiers in Plant ScienceIntroductionPine wilt disease spreads rapidly, leading to the death of a large number of pine trees. Exploring the corresponding prevention and control measures for different stages of pine wilt disease is of great significance for its prevention and ...
Zhenbang Zhang +9 more
doaj +2 more sources
Detection Methods for Pine Wilt Disease: A Comprehensive Review. [PDF]
Plants (Basel)Pine wilt disease (PWD), caused by the nematode Bursaphelenchus xylophilus, is a highly destructive forest disease that necessitates rapid and precise identification for effective management and control. This study evaluates various detection methods for PWD, including morphological diagnosis, molecular techniques, and remote sensing. While traditional
Tahir S, Hassan SS, Yang L, Ma M, Li C.
europepmc +4 more sources
Lightweight YOLOv8-based real-time detection of pine wilt disease from drone imagery [PDF]
Frontiers in Plant ScienceIntroductionA core bottleneck of forestry remote sensing lies in accurate, real-time pine wilt disease monitoring on UAV-borne edge hardware, which suffers from constrained computing capacity and complicated field forest backgrounds.
Haojie Chai +6 more
doaj +2 more sources
Detection of Pine Wilt Nematode from Drone Images Using UAV
Sensors, 2022 Pine wilt nematode disease is a devastating forest disease that spreads rapidly. Using drone remote sensing to monitor pine wilt nematode trees promptly is an effective way to control the spread of pine wilt nematode disease.
Zhengzhi Sun +2 more
doaj +1 more source
A Deep Learning-Based Generalized System for Detecting Pine Wilt Disease Using RGB-Based UAV Images
Remote Sensing, 2021 Pine wilt is a devastating disease that typically kills affected pine trees within a few months. In this paper, we confront the problem of detecting pine wilt disease.
Jie You, Ruirui Zhang, Joonwhoan Lee
doaj +1 more source
MPs, insects and trees: The Pine Wood Nematode in the Portuguese Parliament [PDF]
SHS Web of Conferences, 2022 The Pine Wood Nematode (PWN) Bursaphelenchus xylophilus is the causal agent of the pine wilt disease, and a quarantine organism within the European Union.
García-Pereda Ignacio
doaj +1 more source
Regeneration of different plant functional types in a Masson pine forest following pine wilt disease. [PDF]
PLoS ONE, 2012 Pine wilt disease is a severe threat to the native pine forests in East Asia. Understanding the natural regeneration of the forests disturbed by pine wilt disease is thus critical for the conservation of biodiversity in this realm.
Guang Hu +5 more
doaj +1 more source
PhytoFrontiers, 2023 Pine wilt disease is a major biological disaster caused by Bursaphelenchus xylophilus. This study establishes a high-quality and well-annotated genome sequence of B. xylophilus strain TS-1 from Mountain Tai in Shandong province, China.
Jie Li +6 more
doaj +1 more source