Utilizing sensors (soil moisture, nutrients), drones (for field imaging), and AI to analyze data and guide precise irrigation, fertilization, and pesticide application for specific small areas within a field, rather than uniform application.

Key Benefits: Saving water, fertilizers, and pesticides; increasing crop yield and quality; and reducing negative environmental impact.

Employing cameras or drones combined with AI to automatically detect early signs of pests and diseases in crops or abnormal health indicators in livestock (through images, sounds, behavior).

Key Benefits: Enabling early intervention and timely treatment of diseases, reducing losses, and improving livestock and crop farming efficiency.

Installing a network of sensors (temperature, air humidity, light, etc.) on farms and in greenhouses to automatically monitor environmental conditions. Developing software/apps for farmers to monitor remotely and receive alerts.

Key Benefits: Helping farmers better control farming/livestock environments, make appropriate care decisions, and reduce risks due to weather and climate.

Applying technology (potentially Blockchain or secure databases) to record and track the entire process from sowing/rearing, cultivation, harvesting, and processing through to the consumer (e.g., via QR codes).

Key Benefits: Increasing transparency, building consumer trust in food quality and safety, and enhancing the brand value of Vietnamese agricultural products.