Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)

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Study of Factors Influencing the Development of Artificial Intelligence in Agribusiness Based on Multiple Linear Regression Modeling

Authors
Jiashu Xu1, *
1Tsinglan School, Dongguan, 523808, China
*Corresponding author. Email: kenneth.xu_26@tsinglan.org
Corresponding Author
Jiashu Xu
Available Online 7 May 2025.
DOI
10.2991/978-94-6463-706-9_17How to use a DOI?
Keywords
Multiple Linear Regression Model; Artificial Intelligence; Agricultural Industry; Influencing Factors
Abstract

The artificial intelligence sector is an evolving industry. The agricultural sector is one of the most important and ancient industries. Given the expanding global population, the two sectors possess prospects for integration to meet the escalating demographic demands. With annual technological advancements, persons' daily lives have improved relative to past decades. Artificial intelligence has infiltrated multiple areas, including manufacturing, characterised by extensive automation, and agriculture, where it aids farmers in improving both the quality and yield of crops. This investigation focused on Mengniu and Yili as the subjects of study. The study examined the variables of CPI, currency rate, and gold price from three perspectives: the domestic market, the foreign market, and significant capital markets. The implementation of artificial intelligence in agriculture has the capacity to transform food production, management, and growing techniques, improving efficiency and quality. Nonetheless, it necessitates investment and training, and governments must evaluate its implications for employment to tackle the challenge of satisfying the increasing demand for food resulting from population expansion.

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 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
7 May 2025
ISBN
978-94-6463-706-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-706-9_17How 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  - Jiashu Xu
PY  - 2025
DA  - 2025/05/07
TI  - Study of Factors Influencing the Development of Artificial Intelligence in Agribusiness Based on Multiple Linear Regression Modeling
BT  - Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)
PB  - Atlantis Press
SP  - 175
EP  - 186
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-706-9_17
DO  - 10.2991/978-94-6463-706-9_17
ID  - Xu2025
ER  -