AI Emerging Company Global Global News Industrial AI Industry

Kenyan-Developed APP Utilizes ML to Predicate the Migration and Breeding of Locusts

Kuzi is using satellite data, soil sensor data, ground meteorological observation and machine learning technology trained on predict the locusts’ breeding, appearance and migration routes.

According to the FAO, a locust swarm of a square kilometer can devour the same amount of food in one day as 35,000 people. In effort to curb the desert locust outbreak that affected 23 countries, Kuzi — an early-warning AI tool named after locust-eating bird in Swahili — is using satellite data, soil sensor data, ground meteorological observation and machine learning technology trained on predict the locusts’ breeding, appearance and migration routes. The tool also creates heat map to warn of high-risk areas with locust infestation. Kuzi is available to users in countries including Kenya, Uganda, Ethiopia, and Somalia to help them control the pest outbreak. The system will deliver text messages 2-3 months in advance of anticipated attacks to farmers and agriculturists, which are available in for free in languages such as Kiswahili, Somalia and Amharic. (Source)


We know you don’t want to miss any news or research breakthroughs. Subscribe to our popular newsletter Synced Global AI Weekly to get weekly AI updates.

1 comment on “Kenyan-Developed APP Utilizes ML to Predicate the Migration and Breeding of Locusts

  1. It’s really a suffocating example of how modern technologies can know the best way to create the most advanced environmental viklikiv. The development of the Kenyan program, like a vicorist machine for the transfer of migration and the reproduction of locusts, is against its own importance.

    Tsey krok є great rok forward in the fight against the wretchedness I give birth to that defense of dovkіllya in the regions, de sarantsi can lead to a serious shkodi. The use of piece intelligence and data analysis allows you to quickly intervene and make decisions based on accurate forecasts

Leave a Reply

Your email address will not be published. Required fields are marked *

%d