AI for Earth partners
When human ingenuity and technology meet, we have the power to solve big environmental challenges. We support our partners working on the front lines of sustainability.
Conservation Science Partners
The Analytics Lab team at Conservation Science Partners (CSP) is using the Planetary Computer to monitor forest change, habitat connectivity, and the impacts of human land use across the U.S., providing a range of project partners and stakeholders with the data they need to make better conservation decisions in near real time.
Ag-Analytics combines data from farm equipment, satellite imagery, and weather forecasts in the cloud to provide precision recommendations to farmers.
The Agrimetrics Data Marketplace connects data and organizations across the food and farming sector to help create a more productive and sustainable food system.
The Freshwater Trust and Upstream Tech developed BasinScout® Platform to help identify the best places to improve groundwater and surface water quantity and quality.
Breeze Technologies develops compact air quality sensors that use cloud and AI technology to collect data in real time, creating hyperlocal maps to better understand and improve air quality.
Cloud Agronomics uses remote-sensing technology and AI to provide growers with insights into their crops and soil, leading a new wave of proactive analytics to lower greenhouse gas emissions and spur sustainable food production.
Conservation Metrics combines machine learning, remote sensing, and scientific expertise to increase the scale and effectiveness of wildlife surveys.
eMammal is an Azure-based platform that stores and organizes images from citizen-run camera traps while learning more about the world’s land mammals.
INaturalist is a platform that allows citizen scientists to contribute wildlife observations to environmental science research, using AI to accelerate the identification of thousands of species.
NatureServe is leveraging Esri ArcGIS tools and Microsoft cloud computing to generate high-resolution habitat maps for imperiled species – providing critical information for smart conservation action.
The Ocean Cleanup
The Ocean Cleanup uses machine learning to identify plastic pollution in rivers and simulate how it moves in the ocean. These insights power passive cleanup systems to help remove plastic that impacts our ecosystems.
OceanMind uses satellites, vessel tracking data, and AI to reduce illegal and unreported fishing – preserving biodiversity and protecting livelihoods.
The OOICloud project shares data from the Ocean Observatories Initiative with the scientific community through an open platform that helps ocean researchers study the impacts of climate change.
SilviaTerra is using aerial imagery and AI to survey forests at a national scale, transforming how conservationists and landowners measure and monitor forests.
SunCulture develops irrigation and farming technology solutions to help smallholder farmers in Africa maximize yields and increase earnings.
Terrafuse leverages physics-enabled AI models to help organizations understand climate-related risk at the hyperlocal level.
ThermaFY develops software that can analyze heat patterns by pairing thermal cameras with machine learning. Thermal data insights can help us identify and understand temperature conditions – whether the challenge is patients with a fever, or livestock health, or energy waste in buildings.
Wild Me develops open-source platforms for identifying and tracking wildlife, combining the strengths of AI and citizen scientists to fight extinction.
Zamba Cloud uses Microsoft Azure to automatically identify animals in videos, making it easier, more affordable, and faster for researchers and conservationists to study camera trap footage.
Zooniverse engages people in science with crowd-based research projects. They use Microsoft Azure to store and organize data for projects across disciplines, including astronomy, zoology, cancer research, climate science, and arts and humanities.