ARTIFICIAL INTELLIGENCE IN SUSTAINABLE AGRO-PROCESSING IN VIETNAM: CHALLENGES AND PROSPECTS

Abstract

Artificial Intelligence (AI) is gradually reshaping Vietnam’s agricultural and food processing sectors by improving productivity, product consistency, and overall sustainability. Although Vietnam is a major agricultural exporter, the country continues to face persistent challenges, including high postharvest losses, inconsistent product quality, and limited value-added processing capacity. This paper reviews the application of AI in areas such as sorting, quality inspection, preservation, food safety monitoring, and traceability. When integrated with technologies such as IoT, smart sensors, and blockchain, AI has the potential to reduce energy consumption, extend shelf life, and help producers comply with international standards. However, several constraints remain, notably the absence of standardized datasets, substantial investment requirements, a shortage of trained personnel, and limited regulatory guidance. The article closes with a set of recommendations designed to encourage AI adoption and strengthen the long-term sustainability of Vietnam’s agro-processing sector.