A Rainfall Prediction Tool for Sustainable Agriculture Using Random Forest-Reference-Cited by-同舟云学术

A Rainfall Prediction Tool for Sustainable Agriculture Using Random Forest

Published:2018 Issue: Volume: Page:315-326
ISSN:0302-9743
Container-title:Advances in Soft Computing
language:
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Author:

Valencia-Payan Cristian^ORCID,Corrales Juan Carlos^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04491-6_24

Reference32 articles.

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2. Ministerio De Agricultura y Desarrollo Rural and Departamento Administrativo Nacional de Estadística: El cultivo de la papa, Solanum tuberosum Alimento de gran valor nutritivo, clave en la seguridad alimentaria mundial. Insumos y Factores asociados a la producción agropecuaria, no. 15, p. 92 (2013)

3. Abbot, J., Marohasy, J.: Forecasting extreme monthly rainfall events in regions of Queensland, Australia using artificial neural networks. Int. J. Sustain. Dev. Plan. 12(7), 1117–1131 (2017)

4. Unnikrishnan, P., Jothiprakash, V.: Daily rainfall forecasting for one year in a single run using singular spectrum analysis. J. Hydrol. 561, 609–621 (2018)

5. Advances in Intelligent Systems and Computing;RI Rasel,2018

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