Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

Inadequate agricultural planning compounded by inaccurate predictions results in an inflated local market rate and prompts higher importation of wheat. To tackle this problem, this research has designed two-phase universal machine learning (ML) model to predict wheat yield (W(pred)), utilizing 27 ag...

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Detalles Bibliográficos
Autores principales: Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz, Yaseen, Zaher Mundher
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/PMC8971467/
https://www.ncbi.nlm.nih.gov/pubmed/35361838
http://dx.doi.org/10.1038/s41598-022-09482-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971467/
https://www.ncbi.nlm.nih.gov/pubmed/35361838
http://dx.doi.org/10.1038/s41598-022-09482-5

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