YOLO-PTHD: A UAV-Based Deep Learning Model for Detecting Visible Phenotypic Signs of Pine Decline Induced by the Invasive Woodwasp Sirex noctilio (Hymenoptera, Siricidae)

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Detalles Bibliográficos
Publicado en:	Insects vol. 16, no. 8 (2025), p. 829-853
Autor principal:	Yang Wenshuo
Otros Autores:	Zhao Jiaqiang, Zhu Dexu, Wang Zhengtong, Song, Min, Chen, Tao, Liang, Te, Shi, Juan
Publicado:	MDPI AG
Materias:	China Heilongjiang China Forest management Invasive species Invasive insects Photography Signs and symptoms Damage detection Unmanned aerial vehicles Field investigations Insects Performance evaluation Forests Datasets Evergreen trees Pine needles Field tests Remote sensing Aerial surveys Classification Artificial intelligence Trees Algorithms Wilt Pine Accuracy Visual perception Deep learning Discoloration Disease Medical imaging Color Visual stimuli Occlusion Machine learning Pine trees Pests Epidemics Support vector machines Data collection Pest outbreaks Decline Morphology Elongated structure Sirex Sirex noctilio Environmental
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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