Prediction of cold chain loading environment for agricultural products based on K-medoids-LSTM-XGBoost ensemble model

Prediction of cold chain loading environment for agricultural products based on K-medoids-LSTM-XGBoost ensemble model

Cold chain loading is a crucial aspect in the process of cold chain transportation, aiming to enhance the quality, reduce energy consumption, and minimize costs associated with cold chain logistics. To achieve these objectives, this study proposes a prediction method based on the combined model of K...

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Bibliographic Details
Main Authors: Zhijie Luo, Wenjing Liu, Jianhao Wu, Huang Aiqing, Jianjun Guo
Format: Article
Language:English
Published: PeerJ Inc. 2024-12-01
Series:PeerJ Computer Science
Subjects:
K-medoids
XGBoost
Ensemble model
Cold chain loading
Prediction
Online Access:https://peerj.com/articles/cs-2510.pdf

Internet

https://peerj.com/articles/cs-2510.pdf

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