Wheat ear counting using K-means clustering segmentation and convolutional neural network

BACKGROUND: Wheat yield is influenced by the number of ears per unit area, and manual counting has traditionally been used to estimate wheat yield. To realize rapid and accurate wheat ear counting, K-means clustering was used for the automatic segmentation of wheat ear images captured by hand-held d...

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Detalles Bibliográficos
Autores principales: Xu, Xin, Li, Haiyang, Yin, Fei, Xi, Lei, Qiao, Hongbo, Ma, Zhaowu, Shen, Shuaijie, Jiang, Binchao, Ma, Xinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412807/
https://www.ncbi.nlm.nih.gov/pubmed/32782453
http://dx.doi.org/10.1186/s13007-020-00648-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412807/
https://www.ncbi.nlm.nih.gov/pubmed/32782453
http://dx.doi.org/10.1186/s13007-020-00648-8

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