An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data
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Title
An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data
Authors
Keywords
High throughput phenotyping, Evapotranspiration, Time series forecasting, Time series classification, Ensemble machine learning, Sampling time optimization
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 182, Issue -, Pages 105992
Publisher
Elsevier BV
Online
2021-02-05
DOI
10.1016/j.compag.2021.105992
References
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