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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |