In recent years, technology has not only revolutionised traditional farming but also unlocked new pathways for global food production. Innovations such as sensors, smart devices, and data-driven systems are increasingly being integrated into agriculture to boost efficiency and output. In many developing countries, it is often creative and tech-savvy young locals who introduce these tools to farming communities. However, without meaningful support from governments or large corporations, scaling these efforts remains a significant challenge.
The application of the Internet of Things (IoT) and artificial intelligence (AI) in agriculture in low-income regions is emerging, yet progress remains slow. This slow uptake is particularly concerning given the urgent challenges these regions face—water scarcity, climate volatility, and limited access to modern farming equipment. By leveraging intelligent systems, farmers can monitor soil health in real time, optimise irrigation schedules, and forecast crop yields with greater accuracy. The result is not only higher agricultural productivity but also reduced operational costs and a smaller environmental footprint.

To accelerate this transformation, targeted investment in youth-led tech education, affordable IoT infrastructure, and localised AI solutions is essential. Only then can the creative potential of young innovators in developing countries be fully realised—turning small-scale experiments into nationwide agricultural resilience