AI SENSORS FOR CROP MONITORING AND FARM SECURITY IN SMALLHOLDER FARMS IN NIGERIA
Keywords:
Artificial Intelligence, Agriculture, real-time data processing, smallholder farms, Internet of Things (IoT)Abstract
Agriculture is the largest sector in Nigeria, employing about 70% of the workforce, yet farmers continue to face numerous challenges, such as low crop yield and farm insecurity. With Artificial Intelligence (AI) gaining global popularity, its potential can be used to create effective systems to address these issues. This paper proposes the integration of AI-powered sensors for farm and crop monitoring in smallholder farms in Nigeria to improve productivity and strengthen food security. The proposed system will use low-cost IoT sensors and trained AI models to monitor soil moisture, crop health, and unauthorized movement around the farm, and provide real-time insights and alerts, helping farmers make data-driven decisions. Ultimately, this approach aims to improve productivity and contribute to food security.
