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Rapid detection and classification of citrus fruits infestation by Bactrocera dorsalis (Hendel) based on electronic nose

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成果类型:
期刊论文
作者:
Wen, Tao;Zheng, Lizhang;Dong, Shuai;Gong, Zhongliang;Sang, Mengxiang;...
通讯作者:
Peng, Hailong
作者机构:
[Wen, Tao; Sang, Mengxiang; Gong, Zhongliang; Dong, Shuai; Zheng, Lizhang] Cent South Univ Forestry & Technol, Sch Mech & Elect Engn, Changsha 410004, Hunan, Peoples R China.
[Long, Xiuzhen] Guangxi Acad Agr Sci, Plant Protect Res Inst, Nanning 530007, Guangxi, Peoples R China.
[Peng, Hailong; Luo, Mei] Nanchang Univ, Dept Chem & Pharmaceut Engn, Nanchang 330031, Jiangxi, Peoples R China.
[Peng, Hailong] Nanchang Univ, State Key Lab Food Sci & Technol, Nanchang 330047, Jiangxi, Peoples R China.
通讯机构:
[Peng, Hailong] N
Nanchang Univ, Dept Chem & Pharmaceut Engn, Nanchang 330031, Jiangxi, Peoples R China.
语种:
英文
关键词:
Bactrocera dorsalis (Hendel);Citrus fruits;Classification;Electronic nose;Infestation;Rapid detection
期刊:
Postharvest Biology and Technology
ISSN:
0925-5214
年:
2019
卷:
147
页码:
156-165
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31401281, 31660482]; Key research and development program of Hunan [2018NK2066]; Outstanding Youth Foundation of Jiangxi [20171BCB23010]
机构署名:
本校为第一机构
院系归属:
机电工程学院
摘要:
A sweeping electronic nose system (SENS) was self-developed to detect the presence of early infestation by Bactrocera dorsalis (Hendel) in citrus fruits. Principal component analysis (PCA) and linear discriminate analysis (LDA) were applied to analyze citrus fruits that were subjected to different types of treatments (invasion and incubation stage) caused infestation. The results indicated that the SENS could successfully detect the presence of early infestation by B. dorsalis in citrus fruits. The different types of treatments in citrus fruits could be effectively classified by PCA and LDA, r...

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