A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting

A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting

Short-cycle agricultural product sales forecasting significantly reduces food waste by accurately predicting demand, ensuring producers match supply with consumer needs. However, the forecasting is often subject to uncertain factors, resulting in highly volatile and discontinuous data. To address th...

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Bibliographic Details
Main Authors: Jiawen Li, Binfan Lin, Peixian Wang, Yanmei Chen, Xianxian Zeng, Xin Liu, Rongjun Chen
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Foods
Subjects:
RF-XGBoost
hierarchical clustering
agricultural product
sales forecasting
food waste reduction
Online Access:https://www.mdpi.com/2304-8158/13/18/2936
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