Inventory of use cases
AI has a huge potential in helping to reach climate commitments and have great impact on sustainability of societies. In combination with the mitigation of the negative impacts of AI, this might enable enormous progress in working towards the ecological and digital transition.
For the common adoption of AI solutions which greatly increase environmental sustainability, this inventory of AI use cases brings visibility to organizations that adopted AI for environmental goals.
The use cases listed here have all been selected through open-ended calls for projects, with selection committees. So far, those calls for projects are the AI Convergence Challenges and the Paris Peace Forum. Winners of the AI for Efficiency call in the topic of Sustainable AI will also be added in the coming weeks.
Predict carbon from landfills
Predict carbon resources in landfills for renewable energy storage, providing critical tools and datasets for overcrowded African cities.
Marine protection of sensitive zones
Using AI-driven satellite image analysis for marine protection, addressing illegal fishing, terrorism, and biodiversity preservation, while assessing climate change impacts on coastal areas.
Agricultural AI agents
Develop a collaborative tool to generate AI agents specialized in agriculture, offering an open-source kit for creating AI solutions in the agricultural sector.
Mapping World’s Forest
Create the first global one-meter resolution tree canopy height map, enabling individual tree detection worldwide to improve carbon removal projects and forest monitoring.
Optimize fertilizer usage
Provide real-time, lab-accurate soil data and AI-driven actionable recommendations, helping farmers improve yields while cutting fertilizer costs and carbon footprints.
Monitor the Amazon deforestation
Monitor deforestation and protect biodiversity in the Amazon, enabling faster and more effective conservation efforts, through the use of cloud technology.
Monitor biodiversity
Accelerate the effective conservation and regeneration of biodiversity and ecosystem health by strengthening the monitoring and understanding of the effects of climate change on priority ecosystems and species.
Ocean ecosystems modeling
Unravel the complexities of global ocean symbiomes, advancing understanding of marine ecosystems, climate change, and biodiversity, with the help of advanced mathematical modeling.
Manage water resources
Leverage satellite data and spatial analysis to provide real-time climate insights for water management in the Himalayan region, benefiting people affected by floods and wildfires.
Decarbonization
Help industries transform digitally and sustainably by optimizing production processes, reducing carbon emissions, and improving energy efficiency with real-time monitoring and predictive maintenance tools.
Monitor air quality
Real-time sampling and microscopic imaging of airborne particles with the aim of providing innovative prevention services (respiratory risks, industrial risks, biological risks to human, plant, and animal health, environmental protection).
Prioritize interventions for floods
Better prepare for floods through more robust flood planning and management activities with Satellite and weather data; demographic vulnerability data; access to infrastructure data; losses and damages data; and government response data.
Classify regions at risk of wildfires
Automatically locate smoke on videos from cameras located in the forest, before it becomes an out-of-control wildfire.
Detect climate desinformation
Detect climate-based misinformation in the input text and to categorize it into one of the 8 categories of climate misinformation.
Detect illegal deforestation
Detect illegal logging in audio recordings of the jungle to help deploy rangers to locations where it happens in real time.
Desert locust prediction
Desert locust swarms pose a significant threat to agriculture and food security. Our study introduces an operational model for predicting locust breeding areas, aiming to improve early warning systems and targeted control efforts.
