AI for Earth partners

Terrafuse uses machine learning to forecast climate-related risks. Terrafuse leverages historical wildfire data, numerical simulations, and satellite imagery on Microsoft Azure to model wildfire risk for any location. Anyone can access wildfire forecast information via APIs and graphical tools.

Ag-Analytics uses sensors to collect soil, tillage, and yield data for specific plots of farmland. The data is stored in Microsoft Azure and made available to farmers via user-friendly APIs to help them lower costs, improve yields, and minimize the environmental cost of agriculture.

OceanMind works with government authorities to prevent illegal, unreported, and unregulated fishing by analyzing vessel movements in real time. AI algorithms identify suspicious behaviour, which OceanMind shares with agencies to direct patrol boats more effectively.

It’s essential for conservationists, governments, and landowners to inventory forests for ecological, social, and economic health. By utilizing AI, cloud software, and machine learning these groups can work together to study the effects of climate change and improve habitats. SilviaTerra is using Microsoft Azure, high-resolution satellite imagery, and US Forest Service inventory and analysis field data to train machine-learning models to measure forests.

AI for Earth is using AI technology and advanced cloud software to identify animal species that are on the verge of extinction. Wild Me uses computer vision and deep learning algorithms to power Wildbook, a platform that utilizes technology to scan and identify individual animals and species.

PAWS collects information from previous poaching activities, then uses machine learning and behavioral modeling to generate predictions about poaching locations and optimal patrol routes. The outcome is more effective patrols and better use of resources in the fight against poaching vulnerable species.