An Apple Fungal Infection Detection Model Based on BPNN Optimized by Sparrow Search Algorithm

To rapidly detect whether apples are infected by fungi, a portable electronic nose was used in this study to collect the gas information from apples, and the collected information was processed by smoothing filtering, data dimensionality reduction, and outlier removal. Following this, we utilized K-...

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Detalles Bibliográficos
Autores principales: Zhao, Changtong, Ma, Jie, Jia, Wenshen, Wang, Huihua, Tian, Hui, Wang, Jihua, Zhou, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496132/
https://www.ncbi.nlm.nih.gov/pubmed/36140077
http://dx.doi.org/10.3390/bios12090692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496132/
https://www.ncbi.nlm.nih.gov/pubmed/36140077
http://dx.doi.org/10.3390/bios12090692

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