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

Jiashu Xu ()
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Jiashu Xu: Tsinglan School

A chapter in Proceedings of the 2024 2nd International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024), 2025, pp 175-186 from Springer

Abstract: 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.

Keywords: Multiple Linear Regression Model; Artificial Intelligence; Agricultural Industry; Influencing Factors (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-706-9_17

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DOI: 10.2991/978-94-6463-706-9_17

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