Agriculture is vital in national and global social and economic development because it provides crucial nutrition for people's health and existence. Developing and managing sustainable agricultural supply chains is essential to ensuring alimentary quality and quantity. However, this process has gotten more challenges due to increasing global food demand and climate change. Artificial intelligence (AI) has contributed to revolutionizing agricultural supply chains. Much research has demonstrated the effectiveness of various AI-powered solutions, such as agricultural forecasting, automated irrigation, crop monitoring, and quality control. Besides, numerous developing nations have encountered significant barriers to using such AI technologies. This research explores the main challenges to adopting AI applications in agriculture. This study uses qualitative methodology by conducting in-depth interviews with agricultural businesses. As a result, this study will provide practical recommendations to assist government officials, scientists, and businesses in developing countries in establishing efficient strategies for applying AI-driven solutions, leading to more sustainable agricultural supply chains and fostering a green economy.
Nguyen et al. (Fri,) studied this question.