Prediction of Crop Water Stress Index (CWSI) Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Prediction of Crop Water Stress Index (CWSI) Using Machine Learning Algorithms

Published:2024-05-16 Issue: Volume:4 Page:969-980
ISSN:
Container-title:World Environmental and Water Resources Congress 2024
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Author:

Narakala Likith Muni¹²³⁴,Yadav Aditi¹²³⁴,Upreti Hitesh¹²³⁴,Das Singhal Gopal¹²³⁴

Affiliation:

1. Undergraduate Research Scholar, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

2. Ph.D. Research Scholar, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

3. Assistant Professor, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

4. Associate Professor, Dept. of Civil Engineering, Shiv Nadar Institution of Eminence, Greater Noida, India.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485477.086

Reference20 articles.

1. Aha, D. W., D. Kibler, M. K. Albert, and J. R. Quinian. 1991. Instance-Based Learning Algorithms.

2. Breiman, L. 1996. Bagging Predictors.

3. Impacts of irrigation efficiency improvement on water use, water consumption and response to water price at field level

4. Breiman, L. 2001. Random Forests.

5. Elucidating the prediction capability of neural network model for estimation of crop water stress index of rice;Cherie Workneh A.;ISH Journal of Hydraulic Engineering,2023

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