AI for Earth
AI for Earth is a Microsoft program aimed at empowering people and organizations to solve global environmental challenges by increasing access to AI tools and educational opportunities, while accelerating innovation.
By 2050, farmers must produce more food, on less arable land, and with lower environmental impact to feed the world’s rapidly growing population. AI can help people efficiently monitor the health of farms in real time.
In the next two decades, demand for fresh water is predicted to dramatically outpace supply. AI can help people model Earth’s water supply to help us conserve and protect fresh water.
Species are going extinct beyond the natural rate by orders of magnitude. AI can help people accelerate the discovery, monitoring, and protection of biodiversity across our planet.
Increasingly variable climates threaten human health, infrastructure, and natural systems. AI can provide people with more accurate climate predictions to help reduce potential impact on communities.
AI for Earth builds on Microsoft’s commitment to use AI technology to amplify human ingenuity and advance sustainability around the globe. Through ongoing projects and partnerships, we strive to empower people and organizations to thrive in a resource-constrained world. To learn more, visit www.microsoft.com/green.
Through the Azure for Research AI for Earth award program, researchers and organizations can gain access to cloud and AI computing resources to create more efficient environmental solutions.
New AI for Earth educational opportunities will enable organizations to explore available AI tools, learn how to use them, and discover how these tools can meet their specific needs.
AI for Earth will accelerate the pace of innovation by managing projects that demonstrate new applications, publishing research to further the scientific discussion, and partnering with others to expand and grow initial projects.
Areas of focus
Human society is facing unprecedented environmental challenges. Microsoft has world-leading capabilities in AI—from data to algorithms to infrastructure—as well as the scope and influence needed to address these challenges.
The acceleration of advances in the integration of human ingenuity with technology will transform every industry and potentially solve some of the most pressing challenges of our time, including the health of our planet. These projects mark the start of our journey to remove obstacles to global environmental progress for individuals and organizations on the frontline of environmental sustainability.
Land Cover Mapping
The strategic use of Azure and focused machine learning is providing faster, more effective, and lower cost land cover mapping tools to a small NGO that works to conserve the Chesapeake watershed. By using these tools to analyze, monitor, and manage their precious conservation resources, the NGO benefits from increased productivity, allowing them to pursue actionable solutions previously thought unattainable.
Nearly 75% of emerging infectious diseases originate from animals. However, monitoring and gathering samples for analysis is time-consuming and labor-intensive. By using mosquitoes as tools to collect data from animals in the environment, Project Premonition aims to detect and track pathogens more rapidly and accurately so that they can contain them and, ideally, prevent outbreaks in human populations.
FarmBeats uses advanced technology, existing connectivity infrastructure, and the power of the cloud and machine learning to enable data-driven farming. This initiative provides farmers with easily interpretable insights to help improve agricultural yield, lower overall costs, and reduce the environmental impact of farming.