Cash flow forecasting in the Dutch dairy sector using traditional and machine learning models : a comparative evaluation of SARIMAX, XGBoost, GRU, and LSTM models on farm-level data

Hout, K. van

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Tilburg University

Cash flow forecasting in the Dutch dairy sector using traditional and machine learning models : a comparative evaluation of SARIMAX, XGBoost, GRU, and LSTM models on farm-level data

dc:creator Hout, K. van

dc:date2025

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Author dc:creator: Hout, K. van
Contributors dc:contributor: Huis in 't Veld, E.M.J.

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Statement dc:rights: (c) Universiteit van Tilburg
Language dc:language: eng

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Repository record dc:identifier: https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11135671
OAI identifier oai:identifier: oai:scr.uvt.nl:11135671

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Harvested from: Tilburg University
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Last updated: 2026-07-24
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2025

citation

Hout, K. van. Cash flow forecasting in the Dutch dairy sector using traditional and machine learning models : a comparative evaluation of SARIMAX, XGBoost, GRU, and LSTM models on farm-level data. 2025. https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11135671

Cash flow forecasting in the Dutch dairy sector using traditional and machine learning models : a comparative evaluation of SARIMAX, XGBoost, GRU, and LSTM models on farm-level data

Author and committee

Rights

Identifiers

Chain of custody

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