A Machine Learning Approach to Estimating Reference Evapotranspiration

By Medium - 2020-12-21

Description

Over 70% of the world’s fresh water is used for irrigation and naturally, there is a huge demand for accurate estimates and metrics that could aid sensible water use in the agricultural sector…

Summary

An introduction to using in-situ data in some of the most popular ML models in the physical sciences Over 70% of the world’s fresh water is used for irrigation and naturally, there is a huge demand for accurate estimates and metrics that could aid sensible water use in the agricultural sector.
In the presence of multicollinearity in a feature space, ridge regression performs better than linear regression.
Image by author Performance of the tested models.
The error for each day(every row) was also plotted against the features to investigate the presence of systematic bias in the model.

Topics

Machine_Learning (0.32)
Backend (0.2)
NLP (0.12)

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