Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics

Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics

Soil moisture-holding capacity data are required in modelling agrohydrological functions of dry subhumid environments for sustainable crop yields. However, they are hardly sufficient and costly to measure. Mathematical models called pedotransfer functions (PTFs) that use soil physicochemical propert...

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Bibliographic Details
Main Authors: Jacob Kaingo, Siza D. Tumbo, Nganga I. Kihupi, Boniface P. Mbilinyi
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Applied and Environmental Soil Science
Online Access:http://dx.doi.org/10.1155/2018/9263296
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