Forest harvest operations productivity forecasting: a decisions tree approach-Reference-Cited by-同舟云学术

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Forest harvest operations productivity forecasting: a decisions tree approach

Published:2024-03-18 Issue:2 Volume:35 Page:166-178
ISSN:1494-2119
Container-title:International Journal of Forest Engineering
language:en
Short-container-title:International Journal of Forest Engineering

Author:

Rossit Daniel Alejandro¹²,Olivera Alejandro³,Viana Víctor³,Broz Diego⁴

Affiliation:

1. Department of Engineering, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina

2. INMABB, Universidad Nacional del Sur (UNS)-CONICET, Bahía Blanca, Argentina

3. Tacuarembó University Centre, Universidad de la República, Tacuarembó, Uruguay

4. Forest Science Faculty, Universidad NAcional de Misiones - CONICET, Eldorado, Misiones, Argentina

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14942119.2024.2327243

Reference40 articles.

1. The effect of tree and harvester size on productivity and harvester investment decisions

2. Arbuckle JL. 2010. IBM SPSS Amos 19 user’s guide. Crawfordville, FL: Amos Development Corporation; p. 635.

3. Breiman L, Friedman JH, Olshen RA, Stone CJ. 1984. Classification and regression trees. Wadsworth, Belmont, Ca: Taylor & Francis.

4. A comparison of two methods of data collection for modelling productivity of harvesters: manual time study and follow-up study using on-board-computer stem records

5. Operational transportation planning in the forest industry integrating bucking decisions

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