Predictive modelling to determine the attainable moisture content of <i>Alstonia boonei</i> wood using a solar kiln dryer-Reference-Cited by-同舟云学术

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Predictive modelling to determine the attainable moisture content of Alstonia boonei wood using a solar kiln dryer

Published:2023-04-03 Issue:2 Volume:85 Page:115-122
ISSN:2070-2620
Container-title:Southern Forests: a Journal of Forest Science
language:en
Short-container-title:Southern Forests: a Journal of Forest Science

Author:

Ogunsuyi Joy Aduralere¹^ORCID,Owoyemi Jacob Mayowa¹^ORCID,Makinde Olusola Samuel²^ORCID

Affiliation:

1. Department of Forestry and Wood Technology, School of Agriculture and Agricultural Technology, Federal University of Technology Akure (FUTA), Akure, Nigeria

2. Department of Statistics, Federal University of Technology Akure (FUTA), Akure, Nigeria

Publisher

National Inquiry Services Center (NISC)

Subject

Forestry

Link

https://www.tandfonline.com/doi/pdf/10.2989/20702620.2023.2198092

Reference32 articles.

1. Variation of physical and mechanical properties of Boscia angustifolia (A. Rich.) wood along radial and axial stem portion;Adebawo F;Pro Ligno,2019

2. Fitting non-linear models for tree volume estimation in strict nature reserve, South-West, Nigeria

3. Assessment of the differences in drying rates of open air and shed methods using three selected Nigerian wood species;Aladejana JT;Journal of Applied Tropical Agriculture,2014

4. Modelling of a solar wood dryer with glazed walls

5. Timber Structure, Properties, Conversion and Use

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