Unsaturated Hydraulic Conductivity Prediction Using Artificial Intelligence and Multiple Linear Regression Models in Biochar Amended Sandy Clay Loam Soil-Reference-Cited by-同舟云学术

Unsaturated Hydraulic Conductivity Prediction Using Artificial Intelligence and Multiple Linear Regression Models in Biochar Amended Sandy Clay Loam Soil

Published:2022-01-11 Issue:2 Volume:22 Page:1589-1603
ISSN:0718-9508
Container-title:Journal of Soil Science and Plant Nutrition
language:en
Short-container-title:J Soil Sci Plant Nutr

Author:

Faloye Oluwaseun Temitope,Ajayi Ayodele Ebenezer,Ajiboye Yinka,Alatise Michael Olanrewaju,Ewulo Babatunde Sunday,Adeosun Sunday Samuel,Babalola Toju,Horn Rainer

Funder

Tertiary Education Trust Fund

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s42729-021-00756-x.pdf

Reference75 articles.

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2. Abrisqueta JM, Plana V, Ruiz-Canales A, Ruiz-Sanchez MC (2006) Unsaturated hydraulic conductivity of disturbed and undisturbed loam soil. Span J Agric Res 4:91–96. https://doi.org/10.5424/sjar/2006041-179

3. Ajayi AE, Horn R (2016) Modification of chemical and hydro-physical properties of two texturally differentiated soils due to varying magnitudes of added biochar. Soil Tillage Res 164:34–44. https://doi.org/10.1016/j.still.2016.01.011