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Application of Artificial Intelligence in Vietnam’s Agriculture Supply Chain

초록

영어

Agriculture has always been the foundation of Vietnam's economy, accounting for a significant portion of GDP. However, like many traditional industries, Vietnamese agriculture faces many challenges, from inefficient supply chains to unpredictable weather developments. In recent years, Vietnam's agricultural sector has been looking for ways to improve productivity and efficiency by applying modern technology. Among these technologies, artificial intelligence (AI) has emerged as a potential solution to address the challenges farmers and other stakeholders face in the agricultural supply chain. AI can analyze large amounts of data, optimize resource allocation, and predict market trends, which can significantly improve decision-making in agriculture. However, despite the promising prospects of AI in agriculture, there are still challenges to the widespread application of AI in Vietnam. These include the need for more awareness, technical expertise, and Infrastructure to support AI implementation. In this study, we analyze the current state of AI applications in Vietnam's agricultural supply chain, identify key challenges, and propose strategies to facilitate the integration of AI technology in agriculture supply chains in Vietnam in the digital age.

목차

Abstract
1. Introduction
2. Research Methods
2.1 Theoretical Background
2.2. Research Methods
3. Results and discussion
3.1 Role of AI for agriculture supply chains in Vietnam
3.2 Challenges to AI Adoption
3.3 Proposal of the Roadmap for applying AI in ASC
4. Conclusions
Acknowledgment
References

저자정보

  • Quoc Cuong Nguyen Assistant Professor, Faculty of Engineering, Dong Nai Technology University, Bien Hoa city, Vietnam
  • Hoang Tuan Nguyen Researcher, Dong Nai Institute for Innovation, Dong Nai, Vietnam
  • Changduk Jung President, Naju University, Naju, Korea

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