The workshop attracted a large number of scientists, experts, and technology businesses, in the context of artificial intelligence (AI) becoming a new driving force to help Vietnamese agriculture optimize production and improve the quality of agricultural products. At the event, experts shared many updated perspectives on the current state of the industry and low-cost AI application models that can be implemented immediately at the farm level.
Domestic production remains fragmented, lacking linkages, with limited mechanization and a low percentage of land meeting GAP standards, making digital transformation and the application of high technology challenging. Photo: Minh Sang.
According to representatives of the Vietnam Fruit and Vegetable Association (Vinafruit), the fruit and vegetable industry continues to experience strong growth, with export turnover reaching US$7.15 billion in 2024; projected to reach US$8 billion in 2025. However, production remains fragmented, lacking linkages, mechanization is limited, and the percentage of land meeting GAP standards is still low, making digital transformation and technology application difficult. The global market increasingly demands transparency in production processes and environmentally friendly products, putting pressure on the industry to apply AI, IoT, and Blockchain.
Mr. Nguyen Van Muoi, Deputy Secretary General of the Vietnam Fruit and Vegetable Association (Vinafruit), shared: “The application of AI and digital technologies to provide early warnings and transparency in the production process is an urgent requirement for agriculture today. If implemented early, these technologies will reduce risks due to weather and climate, improve productivity and quality, and create a foundation for sustainable production.”
Dr. Tran Thi Tuyet Van (An Giang University) analyzed the role of AI in modern agriculture, especially when combined with IoT. AI helps identify plant diseases quickly and accurately through images, monitors crops using drones, and enables robotic harvesting and automated irrigation and nutrient systems. However, barriers such as investment costs and a shortage of high-quality human resources remain major challenges.
When data is fully standardized and digitized, AI can be highly effective in supporting traceability control, quality assessment, crop forecasting, optimizing production decisions, and enhancing export capabilities. Photo: Minh Sang.
Mr. Chang SeHun, representing SNE (South Korea), argued that the most suitable direction for Vietnamese agriculture today is not to invest in multi-billion dollar "smart farm" models that are difficult to replicate, but rather to start with digital transformation of data and platforms before applying AI at a more advanced level. Currently, less than 4% of farming households meet VietGAP standards, and most farmers still manually record their field diaries, resulting in fragmented and unstandardized data.
According to Mr. SeHun, Vietnam has a developed agricultural sector, but the level of digitalization is still low. When data is standardized and fully digitized, AI can be highly effective in supporting traceability control, quality assessment, crop forecasting, optimizing production decisions, and enhancing export capabilities.
At the workshop, SNE introduced a low-cost AI SaaS platform that allows for the digitization of farming logs using AI-OCR, incorporating them into a data lake for analysis and forecasting. The system is capable of forecasting agricultural product prices with over 92% accuracy, estimating yields using satellite data, and assessing crop growth directly from smartphone images. These solutions are currently being piloted by SNE in Lam Dong, Bac Giang, and Dong Nai provinces, and are being implemented in collaboration with IAS and WinMart.
The application of AI and digital technologies to provide early warning and transparency in the production process is an urgent requirement for agriculture today. Photo: Minh Sang.
The workshop agreed that digital transformation in agriculture must begin with data digitization and farming information management, before progressing to higher-level AI applications. This is seen as a practical solution to improve production efficiency, traceability, reduce costs, and support smallholder farmers towards smart and sustainable agriculture.
"AI is creating great opportunities for Vietnamese agriculture, from weather forecasting and pest detection to optimizing production processes and tracing origins according to international standards. Especially in the context of climate change, diseases, and labor shortages, the application of AI is considered an essential solution for developing a green and sustainable agriculture," emphasized Mr. Truong Vinh Hai, Deputy Director in charge of the Southern Institute of Agricultural Science and Technology (IAS).
Source: https://nongnghiepmoitruong.vn/day-manh-ung-dung-ai-trong-nong-nghiep-d784342.html
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