Decoding the Economic Forces of Australian Vineyards: Insights from Machine Learning on Cost Drivers and Revenue Patterns

Through the application of XGBoost, this research analyzes a comprehensive dataset collected over ten years to identify and quantify the factors driving operational costs and revenue in Australian vineyards. By integrating variables related to resourc

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Publication Details

Published
2025-10-02
DOI
https://doi.org/10.36227/techrxiv.175941972.26394841/v1
Primary Topic
Wine Industry and Tourism
Type
article
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article

Decoding the Economic Forces of Australian Vineyards: Insights from Machine Learning on Cost Drivers and Revenue Patterns

Nishi Enos Fernin Tadamalla
Wine Industry and Tourism
article

Decoding the Economic Forces of Australian Vineyards: Insights from Machine Learning on Cost Drivers and Revenue Patterns

Nishi Enos Fernin Tadamalla
article en

Abstract

Through the application of XGBoost, this research analyzes a comprehensive dataset collected over ten years to identify and quantify the factors driving operational costs and revenue in Australian vineyards. By integrating variables related to resourc

Wilmington University (US)
Openalex Percentile: Top 74%
Wine Industry and Tourism
DOIOpen Access PDFOpenAlex
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Decoding the Economic Forces of Australian Vineyards: Insights from Machine Learning on Cost Drivers and Revenue Patterns — Nishi Enos Fernin Tadamalla · (2025) | TGRS Research Map | TGRS