Deployment of Artificial for Climate Change Mitigations

Abstract

Climate change refers to long-term shifts in temperatures and weather patterns. This change is largely driven by increases in greenhouse gases in the atmosphere, which increases the greenhouse effect and in turn has adversely disrupted temperatures, rain patterns and emissions. Imagine a world where the challenges of this climate change are not only understood but are being actively countered by one of humanity's most advanced creations: Artificial Intelligence (AI). This isn't a scene from a science fiction novel - it's the unfolding reality of today. This paper aims to discuss how AI has been deployed in Kenya to mitigate (reduce emissions) and ways communities have adapted or generally adjusting to the impacts of climate change. AI models can now predict extreme weather events and incidents such as floods and locust swarms, which serves as early warning systems for communities. For example, "Kuzi" is an AI solution that uses satellite and sensor data to predict desert locust swarms, providing early SMS alerts to farmers. Similarly, initiatives are using AI to predict riverine floods up to seven days in advance, with detailed inundation maps to help communities prepare. In terms of crop disease diagnosis, applications like "PlantVillage Nuru" enable farmers to diagnose crop diseases in real-time, even without an internet connection, reducing losses and improving yields. These innovations are not only groundbreaking and game-changing but may also offer some reassurance to the citizenry that reliable early warnings can save lives and property.