A free tool has been launched that will help African farmers and pastoralists in predicting and controlling locust behaviour.
Kuzi— the Swahili name for the wattled starling, a bird renowned for eating locusts is a tool that uses Artificial Intelligence for generating a real-time heatmap of locusts across the continent that also shows all potential migration routes and gives a real-time locust breeding index.
“A new wave of locust upsurge now threatens millions across Eastern and Southern Africa, exacerbating food insecurity for already vulnerable communities, amidst the challenges of the COVID-19 pandemic. We have a responsibility to develop and deploy locally bred solutions that address these challenges faced by our vulnerable rural communities,” said John Oroko, CEO of Kuzi’s creator, Selina Wamucii. Kuzi is designed in a way to use satellite data, ground meteorological observation, soil sensor data and machine learning to predict the breeding, occurrence and migration routes of desert locusts across the horn of African and Eastern African countries. It also uses deep learning to identify the formation of locust swarms.