Implementation of Artificial Intelligence Systems for Agri-food Supply Chains: A Bibliometric Approach

• 영문명: Implementation of Artificial Intelligence Systems for Agri-food Supply Chains: A Bibliometric Approach
• 발행기관: 한국유통과학회
• 저자명: Javier RAMÍREZ Henry HERRERA Osman REDONDO Sofía SULBARÁN
• 간행물 정보: 『유통과학연구(JDS)』제22권 제6호, 83~93쪽, 전체 11쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2024.06.30

영문 초록

Purpose: The present study is developed with the aim of mapping the trends in scientific production related to the implementation of artificial intelligence systems for agro-food supply chains. Research design, data and methodology: The methodological approach of the research shows a descriptive documentary process based on bibliometric techniques for mapping the main indicators of the area of knowledge through the establishment of a search equation in Scopus. Results: The research results show a total of 633 documents published between 2019 and 2023, with a great annual growth rate of 61.68%; In addition to a notable participation of countries such as India, China, the United Kingdom and the United States in the generation of new knowledge related to artificial intelligence applied to food distribution systems. Conclusions: It is concluded that the rise of new artificial intelligence technologies has shown extremely important results in the development of industries worldwide, with increasingly accelerated steps; which certainly translates into the creation of spaces and incentives in the production of research aimed at understanding these dynamics and in turn to propose new alternatives and proposals for the reduction of the large technological gaps that are present within the agro-food sector.

목차

1. Introduction

2. Literature Review

3. Research Methods and Materials

4. Results

5. Discussion and Implications

6. Suggestions for Future Research and Limitations

References

키워드

Artificial Intelligence Agriculture Supply Chain Deep Learning Agroindustrial