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Archives of Agronomy and Soil Science Volume 57, 2011 - Issue 1
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Articles

Predicting soil water retention curve by artificial neural networks

Rayhaneh Moosavizadeh-Mojarrad Irrigation Department, Shiraz University, Shiraz, Islamic Republic of Iran
&
Ali Reza Sepaskhah Irrigation Department, Shiraz University, Shiraz, Islamic Republic of IranCorrespondence[email protected]
Pages 3-13 | Received 31 Aug 2008, Accepted 16 Jul 2009, Published online: 07 Feb 2011

Citations (7)

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Read on this site (2)

Nicola Battistella, Federico Furlan, Paolo Gardonio, Paolo Gallina & Michele Simonato. (2022) Empirical model of textile water retention in professional washing machines. The Journal of The Textile Institute 113:10, pages 2033-2042.
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Josefina Luisa De Paepe, Alfredo Angel Bono & Roberto Alvarez. (2018) Simple estimation of available water capacity in soils of semiarid and subhumid environments. Arid Land Research and Management 32:2, pages 133-148.
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Articles from other publishers (5)

Jalal Baradaran Motie, Mohammad H. Aghkhani, Abbas Rohani & Amir Lakzian. (2021) A soft-computing approach to estimate soil electrical conductivity. Biosystems Engineering 205, pages 105-120.
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Ali Akbar Moosavi, Mohammad Amin Nematollahi & Mehrzad Rahimi. (2021) Predicting water sorptivity coefficient in calcareous soils using a wavelet–neural network hybrid modeling approach. Environmental Earth Sciences 80:6.
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Chang Liu, Biao Li, Fuguo Tong & Peng Tan. (2019) Determination of soil-water retention curve from a transient air-water two-phase outflow experiment. Bulletin of Engineering Geology and the Environment 79:4, pages 2109-2118.
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Nazanin Abrishami, Ali Reza Sepaskhah & Mohammad Hossein Shahrokhnia. (2018) Estimating wheat and maize daily evapotranspiration using artificial neural network. Theoretical and Applied Climatology 135:3-4, pages 945-958.
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Seyed Hamid Ahmadi, Ali Reza Sepaskhah, Mathias N. Andersen, Finn Plauborg, Christian R. Jensen & Søren Hansen. (2014) Modeling root length density of field grown potatoes under different irrigation strategies and soil textures using artificial neural networks. Field Crops Research 162, pages 99-107.
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