Using Artificial Intelligence to avoid the next locust plague

Kuzi is an early warning tool that helps farmers across Africa to control locusts.

Using AI to avoid the next Locust Plague

Kuzi—the Swahili name for the wattled starling, a bird renowned for eating locusts—is an AI-powered tool, created by Selina Wamucii, that uses satellite data, soil sensor data, ground meteorological observation, and machine learning to predict the breeding, occurrence, and migration routes of desert locusts across the horn of Africa and Eastern African countries. Kuzi uses a machine-learning model trained on the satellite data of soil moisture, wind, humidity, surface temperature, as well as on soil sensor data and the vegetation index – all factors that

affect the breeding, swarm formation, and movement of locusts. Kuzi displays a heat map of high-risk areas along with forecasts of breeding, swarm formation, and migratory attacks that can alert farmers and pastoralists to potential locust activity some 2-3 months in advance of the event. They can also receive SMS alerts when locusts are highly likely to attack farms in their areas, including forage for livestock.

What Kuzi does:

Heatmap

A real-time situation of locusts across Africa, currently for Ethiopia, Somalia, Kenya, and Uganda.

Migration routes

Shows all potential routes for the locust swarm movement

Locust Breeding Index

A real-time locust breeding index based on satellite data, ground meteorological observation data, and machine learning

Receive SMS alerts

Sign up to receive Free SMS alerts when your area is in danger of a locust swarm attack.

Empowering Farmers:

Using AI to avoid the next locust plague by putting power into the hands of farmers.

Early Detection

Early detection and control are critical in desert locust management. Kuzi uses deep learning to spot the formation of locust swarms so that appropriate measures can be taken sooner including identifying favorable breeding areas for intervention at the community level, a critical tool in the fight against world hunger and food insecurity.

Kuzi makes it near impossible for the next locust plague to happen.

Using a machine learning model trained on satellite data of soil moisture, wind, humidity, surface temperatures, and vegetation index - all of which are factors that affect locust breeding, swarm formation, and movement, our web-based tool displays a heat map of high-risk areas and predictions of locusts breeding, swarm formation and attacks that farmers and pastoralists can use for locust alerts and prediction, well ahead into 2-3 months.

Farmers and pastoralists can use Kuzi to forecast well in advance (and receive SMS alerts) when locusts have a high possibility of attacking their areas and farms including forage for livestock.

It provides the foundation for early warning, forecasting, and preventive control strategy, allowing intervention to be undertaken in a more efficient and timely matter.