Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil

Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil

This study aimed to understand the perception of drought among farmers, in order to support decision-making in the water allocation process. This study was carried out in the <i>Tabuleiro de Russas</i> irrigated perimeter, in northeast Brazil, over the drought period of 2012–2018. Two an...

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Bibliographic Details
Main Authors: Louise Caroline Peixoto Xavier, Samiria Maria Oliveira da Silva, Taís Maria Nunes Carvalho, João Dehon Pontes Filho, Francisco de Assis de Souza Filho
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Water
Subjects:
irrigated agriculture
Standardized Precipitation Index
machine learning
Random Forest
Decision Tree
drought perception
Online Access:https://www.mdpi.com/2073-4441/12/6/1546

Internet

https://www.mdpi.com/2073-4441/12/6/1546

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