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2005•Unpublished venueOpen access

VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the west Gulf region

Sun Joseph Chang, Rodney L. Busby, P.R. Pasala, Jeffrey C. Goelz

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Abstract

A Visual Basic computer model that can be used to estimate the harvest value of slash pine plantations in the west gulf region is presented.The model uses a dynamic programming algorithm to convert stand tables predicted by COMPUTE_P-SLASH into a listing of seven products that maximizes the harvested value of the stand.

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A Visual Basic computer model that can be used to estimate the harvest value of slash pine plantations in the west gulf region is presented.The model uses a dynamic programming algorithm to convert stand tables predicted by COMPUTE_P-SLASH into a listing of seven products that maximizes the harvested value of the stand.

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Available abstract

A Visual Basic computer model that can be used to estimate the harvest value of slash pine plantations in the west gulf region is presented.The model uses a dynamic programming algorithm to convert stand tables predicted by COMPUTE_P-SLASH into a listing of seven products that maximizes the harvested value of the stand.

Key concepts: Slash Pine, Slash (logging), Yield (engineering), Mathematics, Forestry, Agricultural engineering, Environmental science, Geography

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VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the west Gulf region — Research Paper | ScholarLens