Farmers in Nigeria are being encouraged to use Edge artificial intelligence to bridge connectivity gaps and improve their agricultural practices. This technology enables data processing directly on devices, without relying on continuous internet connectivity.
According to Juliet Obaro, an Internet of Things engineer, the biggest barrier to digital agriculture is not a lack of innovation, but rather the dependence of most solutions on internet access. This model is not suitable for rural farmers, who often lack reliable internet connectivity.
Edge AI addresses this gap by embedding intelligence into farm-based devices, such as sensors and drones, which can analyse data locally and provide immediate feedback to farmers. This means that farmers can receive real-time insights, even when they are completely offline.
Ms Obaro highlighted the importance of localising AI models to ensure effectiveness in Nigeria's climate and soil types. She also noted that integrating solar-powered devices can enhance the sustainability of Edge AI systems in rural areas.
The solution is designed to be adaptable to rural realities, where electricity supply can be a challenge. Ms Obaro stated that Edge AI can significantly lower recurring costs for smallholder farmers, who operate on thin margins.
The Nigerian government must take concrete steps to support the adoption of Edge AI in rural areas. This technology has the potential to empower smallholder farmers and improve agricultural productivity. However, the initial deployment costs and limited technical expertise remain significant challenges. The government should invest in training programmes to equip farmers with the necessary technical skills to deploy and maintain these systems. Additionally, the government should provide incentives to encourage the adoption of Edge AI, such as subsidies for the purchase of solar-powered devices. The success of Edge AI in Nigeria will depend on the government's ability to address these challenges and create an enabling environment for its adoption. If implemented effectively, this technology can have a significant impact on agricultural productivity and food security in the country.
