Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment

Author:

El Bilali Ali,Taleb Abdeslam

Publisher

Elsevier BV

Subject

General Agricultural and Biological Sciences

Reference42 articles.

1. Machine learning methods for better water quality prediction;Ahmed;J. Hydrol.,2019

2. Efficient water quality prediction using supervised machine learning;Ahmed;Water (Switzerland),2019

3. Ayers, R.S., Westcot, D.W., 1994. Food, Agriculture Organization of the United Nations (FAO), Water Quality for Agriculture, Irrigation and Drainage, Rome, Paper No. 29. Rev1, M-56.

4. A tool for the evaluation of irrigation water quality in the arid and semi-arid regions;Bortolini;Agronomy,2018

5. K-nearest neighbour method in functional nonparametric regression;Burba;J. Nonparametr. Stat.,2009

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