New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning

Title
New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning
Authors
Keywords
1D CNN, Convolutional neural network, Irrigation scheduling, Neural network, Random forest
Journal
AGRICULTURAL WATER MANAGEMENT
Volume 234, Issue -, Pages 106113
Publisher
Elsevier BV
Online
2020-03-05
DOI
10.1016/j.agwat.2020.106113

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