Analysis of the drivers of Agriculture 4.0 implementation in the emerging economies: Implications towards sustainability and food security

Md. Fahim Bin Alam , Saifur Rahman Tushar , Sadid Md. Zaman , Ernesto D.R. Santibanez Gonzalez , A.B.M. Mainul Bari , Chitra Lekha Karmaker
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引用次数: 22

Abstract

Global food insecurity has become a significant concern, especially for emerging economies. The crisis has been exacerbated recently due to the intense supply chain disruption resulting from the COVID-19 pandemic and the ongoing Russia–Ukraine war. Agriculture 4.0, which combines conventional agriculture with various modern cutting-edge technologies, might help in this regard to improve the food supply and food security. In such a context, it is essential to accurately identify the pertinent drivers of Agriculture 4.0 implementation to ensure sustainability and food security in emerging economies. This study, therefore, aims to classify, assess, and analyze the hierarchical relationships among the drivers of Agriculture 4.0 in the context of an emerging economy like Bangladesh, combining Pareto analysis, fuzzy theory, total interpretative structural modeling (TISM), and Matriced’ Impacts Cruoses Multiplication Applique a un Classement (MICMAC) analysis. Based on the literature review and expert feedback, eighteen factors were identified initially. After employing Pareto analysis, the top thirteen factors have been further analyzed using fuzzy TISM and fuzzy MICMAC to examine their interrelationships. The study findings indicate that “Automation & Robotics to lessen the usage of manual labor”, “Augmented reality (AR) for training new farmers and guiding tool evaluation,” and “Providing adequate financial incentives to impoverished farmers for building modern storage facilities” are the three most influential drivers to implement Agriculture 4.0. This study is expected to contribute significantly to future innovation and development in the agriculture sector, eliminate hunger and improve regional food security. It has the potential to assist the practitioners and industry leaders of emerging economies in strategic decision-making in achieving sustainability in the agricultural sector and thus achieve the relevant SDGs.

新兴经济体实施农业4.0的驱动因素分析:对可持续性和粮食安全的影响
全球粮食不安全已成为一个重大问题,尤其是对新兴经济体而言。由于COVID-19大流行和正在进行的俄罗斯-乌克兰战争造成的严重供应链中断,最近危机加剧。农业4.0将传统农业与各种现代尖端技术相结合,可能有助于在这方面改善粮食供应和粮食安全。在此背景下,必须准确确定实施农业4.0的相关驱动因素,以确保新兴经济体的可持续性和粮食安全。因此,本研究旨在结合帕累托分析、模糊理论、总解释结构模型(TISM)和矩阵影响交叉乘法应用分类(MICMAC)分析,对孟加拉国等新兴经济体背景下农业4.0驱动因素之间的层次关系进行分类、评估和分析。基于文献回顾和专家反馈,初步确定了18个因素。运用帕累托分析法,运用模糊TISM和模糊MICMAC对前13个影响因素进行分析,考察其相互关系。研究结果表明,“自动化&机器人技术减少体力劳动的使用”,“增强现实(AR)用于培训新农民和指导工具评估”,以及“为贫困农民提供足够的财政激励以建设现代化仓储设施”是实施农业4.0的三个最具影响力的驱动因素。预计这项研究将对未来农业部门的创新和发展、消除饥饿和改善区域粮食安全作出重大贡献。它有潜力帮助新兴经济体的从业者和行业领导者进行战略决策,以实现农业部门的可持续性,从而实现相关的可持续发展目标。
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