Proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025)

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Research on Forecasting the Consumption of Fresh Agricultural Products Based on DGM (1, 1)

Authors
Yanhui Han1, Yanchun Huang1, *
1School of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing, P. R. China
*Corresponding author. Email: ychhuang@bjtu.edu.cn
Corresponding Author
Yanchun Huang
Available Online 27 May 2025.
DOI
10.2991/978-94-6463-746-5_20How to use a DOI?
Keywords
Fresh agricultural products; cold chain logistics; DGM (1,1) model
Abstract

With the improvement of residents’ consumption level, the requirements for freshness and quality of agricultural products are becoming increasingly high Therefore, it is necessary to plan and promote the cold chain logistics of fresh agricultural products, and scientifically predicting the consumption of fresh agricultural products can help make accurate decisions for the development of cold chain logistics. This article selects six types of fresh agricultural products, including vegetables, fruits, meat, dairy products, eggs, and aquatic products, and uses the DGM (1,1) model to predict the consumption of fresh agricultural products. The results indicate that the consumption of fresh agricultural products continues to increase, and the demand for cold chain logistics is very high in the future. It is necessary to gradually improve the cold chain logistics infrastructure and equipment, increase cold storage capacity, enhance logistics technology and services, and improve logistics efficiency to promote the development of fresh agricultural products.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025)
Series
Advances in Biological Sciences Research
Publication Date
27 May 2025
ISBN
978-94-6463-746-5
ISSN
2468-5747
DOI
10.2991/978-94-6463-746-5_20How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yanhui Han
AU  - Yanchun Huang
PY  - 2025
DA  - 2025/05/27
TI  - Research on Forecasting the Consumption of Fresh Agricultural Products Based on DGM (1, 1)
BT  - Proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025)
PB  - Atlantis Press
SP  - 205
EP  - 214
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-746-5_20
DO  - 10.2991/978-94-6463-746-5_20
ID  - Han2025
ER  -