Cargando…
PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network
Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown Planthopper (BPH) causes high levels of economic loss in Malaysia. Identification of BPH presence and monitoring of its abundance has been conducted ma...
Autores principales: | Nazri, Azree, Mazlan, Norida, Muharam, Farrah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301652/ https://www.ncbi.nlm.nih.gov/pubmed/30571683 http://dx.doi.org/10.1371/journal.pone.0208501 |
Ejemplares similares
-
Recent Strategies for Detection and Improvement of Brown Planthopper Resistance Genes in Rice: A Review
por: Sani Haliru, Bello, et al.
Publicado: (2020) -
Transcriptome Analysis of the Brown Planthopper Nilaparvata lugens
por: Xue, Jian, et al.
Publicado: (2010) -
Insecticidal effect of aconitine on the rice brown planthoppers
por: Wei, Shuqin, et al.
Publicado: (2019) -
Vitellogenin and Vitellogenin-Like Genes in the Brown Planthopper
por: Shen, Yan, et al.
Publicado: (2019) -
Genome sequence of the small brown planthopper, Laodelphax striatellus
por: Zhu, Junjie, et al.
Publicado: (2017)