AI for the planet: 5 ways AI is protecting nature
From listening to rainforests to warning families about floods, here are five hopeful ways AI is helping people care for the planet, and how you can join in.
When we picture nature, we don’t usually picture computers. But some of the most hopeful uses of AI today are happening in rainforests, oceans and farm fields. Let’s explore five of them, and some simple ways you can help too.
1. Listening to the rainforest
Forests are full of sound: birds, insects, rain. They can also carry the sound of logging saws in protected areas, often too far away for rangers to hear.
Rainforest Connection hangs recycled smartphones high in rainforest trees. AI listens to the sounds around the clock and alerts local rangers in real time when something needs their attention. The same recordings also help scientists track which species are present, a bit like taking the forest’s pulse.
2. Counting wildlife, photo by photo
Scientists place hidden “camera traps” that photograph animals as they pass by. One project can collect millions of photos, far more than people could ever sort by hand.
Wildlife Insights uses AI to sort camera-trap photos quickly, so researchers can spend their time on what the pictures mean. Other projects, like Wildbook, go even further and recognise individual animals, such as whale sharks and zebras, from their unique spots and stripes. That helps scientists follow populations over many years.
3. Farming with a lighter touch
Traditionally, many farms spray a whole field to deal with weeds that only grow in some places. Computer vision changes that.
Systems such as John Deere’s See & Spray use cameras and AI to spot individual weeds and spray only them, which can greatly reduce the amount of herbicide used. In East Africa, the PlantVillage Nuru app helps farmers check crops for disease from a phone photo, even without an internet connection.
4. Warning families before floods
Floods affect millions of people each year, and a few days’ warning can make a huge difference. Google’s Flood Hub uses AI to forecast river floods up to seven days ahead in many countries, and shares warnings so families and local services have time to prepare.
5. Saving energy in cities and buildings
Some of AI’s quietest wins are in everyday energy use.
- Google’s Project Green Light suggests better timing for traffic lights, so fewer cars sit idling at red lights.
- DeepMind’s AI helped reduce the energy used to cool Google’s data centres.
- At home, smart thermostats learn your routine and heat or cool only when needed.
AI has a footprint too
It’s worth being balanced. Training and running large AI models uses electricity and, for cooling, water. The most helpful projects are the ones where AI saves far more resources than it uses, like the examples above. As users, we can help by choosing AI where it genuinely saves time or energy, rather than for everything.
How you can join in
You don’t need to be a scientist to help nature with AI:
- Identify what you see. Apps such as iNaturalist and Merlin Bird ID identify plants, insects and birds from a photo or a recording.
- Share your sightings. Your observations can feed real scientific research, helping experts understand where species live and how that’s changing.
- Save energy at home. A smart thermostat, smart plugs or your energy supplier’s app can help you spot easy savings.
- Waste less food. Ask an AI assistant for recipes using what’s already in your fridge.
Common questions
Is AI good or bad for the environment? Both, depending on how it’s used. It uses energy, but it can also help save energy and protect ecosystems. The goal is to make sure the benefits clearly outweigh the costs.
Do these projects replace rangers and scientists? No. They help people focus their time where it matters most, like responding to an alert or studying a surprising photo.
Something to think about
Next time you hear birdsong on a walk, imagine a phone in a rainforest tree listening to the very same kind of sound, helping someone far away keep that forest safe.
Further reading
- Everyday AI: a beginner’s guide from Turing to today, which covers more everyday examples.
- Computer vision basics: what AI notices first in an image, the idea behind weed-spotting cameras.