


Rice farmers face significant challenges in managing pests and diseases that can severely impact crop yield and quality. Traditional methods of pest and disease detection are labor-intensive, time-consuming and often lack the precision required for effective intervention. A solution that can provide accurate, timely, and efficient pest and disease monitoring is needed to ensure the health of rice crops and optimize farming operations.
Acknowledging these challenges, TMA Solutions, a Vietnamese software development company with expertise in AI applications, developed an advanced AI-powered system to detect and identify pests and diseases in the field. This innovative solution is designed to help farmers effectively prevent and control pest outbreaks, reduce costs, and significantly increase production efficiency.

A pest detection system utilizing advanced AI to detect and identify pests and diseases

The AI pest detection system brings several key benefits

The AI Pest Detection solution has been successfully implemented across an entire province in Vietnam, with a total of 3 pest detection machines. The solution is now being used to detect and manage 8 different diseases and 8 types of pests in rice paddy fields. This comprehensive deployment has significantly improved the region's ability to monitor and control agricultural threats, leading to healthier crops and increased productivity for local farmers.