Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques

Crop yield and its prediction are crucial in agricultural production planning. This study investigates and predicts arabica coffee yield in order to match the market demand, using artificial neural networks (ANN) and multiple linear regression (MLR). Data of six variables, including areas, productiv...

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Detalles Bibliográficos
Autores principales: Kittichotsatsawat, Yotsaphat, Tippayawong, Nakorn, Tippayawong, Korrakot Yaibuathet
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/PMC9411627/
https://www.ncbi.nlm.nih.gov/pubmed/36008448
http://dx.doi.org/10.1038/s41598-022-18635-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411627/
https://www.ncbi.nlm.nih.gov/pubmed/36008448
http://dx.doi.org/10.1038/s41598-022-18635-5

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