Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment
Evaluation of the water suitability for irrigation purposes using conventional approaches is generally expensive because it requires several parameters, particularly in developing countries. Therefore, developing accurate and reliable models may be valuable to overcome this issue in the management o...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer
2020-10-01
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| Sarja: | Journal of the Saudi Society of Agricultural Sciences |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S1658077X20300503 |
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