A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors

A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors

One of the most important applications of remote imaging systems in agriculture, with the greatest impact on global sustainability, is the determination of optimal crop irrigation. The methodology proposed by the Food and Agriculture Organization (FAO) is based on estimating crop evapotranspiration...

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Bibliographic Details
Main Authors: Antonio Fernández-López, Daniel Marín-Sánchez, Ginés García-Mateos, Antonio Ruiz-Canales, Manuel Ferrández-Villena-García, José Miguel Molina-Martínez
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
reference evapotranspiration
moisture sensors
machine learning regression
frequency-domain reflectometry
randomizable filtered classifier
Online Access:https://www.mdpi.com/2076-3417/10/6/1912

Internet

https://www.mdpi.com/2076-3417/10/6/1912

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