Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques.

Wu, Weibin; Zhang, Zhenbang; Zheng, Lijun; Han, Chongyang; Wang, Xiaoming; Xu, Jian; Wang, Xinrong

Wu, Weibin; Zhang, Zhenbang; Zheng, Lijun; Han, Chongyang; Wang, Xiaoming; Xu, Jian; Wang, Xinrong.

Afiliação

Wu W; College of Engineering, South China Agricultural University, Guangzhou 510642, China.
Zhang Z; Division of Citrus Machinery, China Agriculture Research System, Guangzhou 510642, China.
Zheng L; College of Engineering, South China Agricultural University, Guangzhou 510642, China.
Han C; Division of Citrus Machinery, China Agriculture Research System, Guangzhou 510642, China.
Wang X; Guangdong Province Key Laboratory of Microbial Signals and Disease Control, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Xu J; College of Engineering, South China Agricultural University, Guangzhou 510642, China.
Wang X; Division of Citrus Machinery, China Agriculture Research System, Guangzhou 510642, China.

Sensors (Basel) ; 20(13)2020 Jul 03.

Article em En | MEDLINE | ID: mdl-32635285

Assuntos

Pinus/parasitologia; Doenças das Plantas/parasitologia; Tylenchida/patogenicidade; Animais; China

Palavras-chave

drone; forest monitoring; hyperspectral sensor; pine wilt disease; pine wood nematode

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Tylenchida / Pinus Limite: Animals País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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