Prediction of the Reference Evapotranspiration Data from Raipur Weather Station in Chhattisgarh using Decision Tree-Based Machine Learning Techniques-Reference-Cited by-同舟云学术

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Prediction of the Reference Evapotranspiration Data from Raipur Weather Station in Chhattisgarh using Decision Tree-Based Machine Learning Techniques

Published:2023 Issue: Volume: Page:537-545
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Patel Abhishek,Ali Syed Taqi

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-5868-7_39

Reference20 articles.

1. Jain SK (2012) India’s water balance and evapotranspiration. Current Sci 102(7):964-967 (2012). https://www.jstor.org/stable/24084532

2. Allen RG, Pereira LS, Raes D, Smith M (1998) FAO irrigation and drainage paper 56. FAO-Food Agricult Org UN 56(97):e156

3. Melo GLD, Fernandes ALT (2012) Evaluation of empirical methods to estimate reference evapotranspiration in Uberaba, State of Minas Gerais. Brazil Engenharia Agrícola 32(5):875–888. https://doi.org/10.1590/S0100-69162012000500007

4. Turc L (1961) Evaluation des besoins en eau d’irrigation, évapotranspiration potentielle. Ann Agron 12:13–49

5. Doorenbos J, Pruitt WO (1977) Guidelines for predicting crop water requirements. FAO Irrigation and Drainage paper, vol 56

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