An integrated learning algorithm for early prediction of melon harvest

Different modeling techniques must be applied to manage production and statistical estimation to predict the expected harvest. By calculating advanced production methods and the rational valuation of different factors, we can accurately capture the variety of growth characteristics and the expected...

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Detalles Bibliográficos
Autores principales: Qian, Chunyang, Du, Taihang, Sun, Shuguang, Liu, Wei, Zheng, Haiguang, Wang, Jianchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616828/
https://www.ncbi.nlm.nih.gov/pubmed/36307511
http://dx.doi.org/10.1038/s41598-022-20799-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616828/
https://www.ncbi.nlm.nih.gov/pubmed/36307511
http://dx.doi.org/10.1038/s41598-022-20799-z

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