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Communications in Soil Science and Plant Analysis Volume 51, 2020 - Issue 17
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Research Article

Comparison of Stepwise Multilinear Regressions, Artificial Neural Network, and Genetic Algorithm-Based Neural Network for Prediction the Plant Available Water of Unsaturated Soils in a Semi-arid Region of Iran (Case Study: Chaharmahal Bakhtiari Province)

Reihaneh Soleimania Department of Soil Science, Collage of Agriculture, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, IranView further author information
,
Elham Chavoshia Department of Soil Science, Collage of Agriculture, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, IranCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3141-3820View further author information
ORCID Icon,
Hossein Shiranib Department of Soil Science, Collage of Agriculture, Vali-e-Asr University of Rafsanjan, Kerman, IranView further author information
&
Isa Esfandiar Pourb Department of Soil Science, Collage of Agriculture, Vali-e-Asr University of Rafsanjan, Kerman, IranView further author information
Pages 2297-2309 | Received 23 Mar 2020, Accepted 31 Jul 2020, Published online: 05 Oct 2020

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Hassan Al Majou, Fabrice Muller, Philippe Penhoud & Ary Bruand. (2022) Prediction of water retention properties of Syrian clayey soils. Arid Land Research and Management 36:2, pages 125-144.
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Articles from other publishers (1)

Lina Yuan, Long Li, Ting Zhang, Longqian Chen, Weiqiang Liu, Sai Hu & Longhua Yang. (2021) Modeling Soil Moisture from Multisource Data by Stepwise Multilinear Regression: An Application to the Chinese Loess Plateau. ISPRS International Journal of Geo-Information 10:4, pages 233.
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