Environmental factors such as natural resource conservation, wildlife protection, energy management, clean energy, waste management, pollution control and agriculture are essential for the survival of the global population. Challenges like increasing greenhouse gases, pollution, mass deforestation, and illegal poaching of animals have adversely affected our environment.
How do we take care of these problems?
Turning towards technology, AI has proved to be a key factor in improving the environment and conserving resources by detecting energy emission reductions, CO2 removal, helping develop greener transportation networks, monitoring deforestation, and predicting extreme weather conditions.
Here are 5 ways in which the application of AI can leave a positive impact on our environment:
AI helps build Smarter Cities
With increasing population and need for more space, the use of Artificial intelligence has effectively increased sustainability within cities, cultivating smarter appliances around us.
One of the many applications of AI in smart cities is already around us: Installation of smart grids.
AI techniques can be used to regulate and control parts of neighbourhood power grids to deliver exactly the amount of electricity required, or requested from its dependents, against the use of conventional power grids that can be wasteful due to unplanned power distribution.
It is not only important to monitor our energy consumption, but in fact, we need to know the best way to utilise it. Arnowa’s Smart grids do the task by managing consumption that will allow the consumer to use energy sustainably, both in peak and off-peak demand periods.
AI helps to Optimise Resources
AI is revolutionising certain industries in terms of gaining maximum output and reducing resource costs.
For instance, for the Supply Chain and Logistics sector, it had been complex and difficult to estimate how many resources were needed to have a product ready for shipping to customers.
But with technologies like smart inventory management and industrial analytics, we can help you track your resources throughout the entirety of a supply chain. AI algorithms can quickly analyse vast volumes of data to understand not only when delays occur, but what risk factors typically display prior to that delay occurring. This takes the stress out of the supply chain and exponentially reduces the chance of resource wastage which, in turn, brings sustainable returns to a business.
AI helps to Reduce Waste
Covid -19 has thrown light on how inefficient medical waste disposal from hospitals has led to an increase in pollution and environmental degradation.
Smart technologies working towards smarter waste management are crucial.
Features like Inbuilt fill level and odour sensors help you to monitor your waste instead of experiencing overfill events, which can not only be painful to clean up but also impact pedestrians through odour and visual impact.
Real-time monitoring waste data backed with AI algorithms is already being utilised by some City Councils around the world. Arnowa’s Carbon sources the relevant data and displays critical waste monitoring data in a dashboard with embedded interactive maps.
The system generates alerts to waste collection authorities to ensure efficient waste collection and management. AI can take this one step further by assessing multi-parametric data sets (fill, odour, foot traffic, seasonal weather, and more) to identify when overfill events are more likely to occur, which feeds into resource planning for those responsible for waste management. This means less trucks on the road, and less carbon emissions!
AI helps to build Smarter Agriculture
Did you know that the Agricultural sector produces over 30% of the total greenhouse gas emissions? No, this isn’t just the methane from cows’ flatulence, but also earlier in the supply chain with chemical fertilizers and pesticides.
AI is helping the Agriculture Sector advance in many ways.
Features like automated water pumps for Smarter irrigation, identification of pest infestation, and soil health monitoring make it simpler for farmers to drastically optimise their resource utilisation. This means using in fertilisers only specific places, when needed (by our soil monitoring flagging requirements based on composition). This means the end users get more eco-friendly products, helping our environmental efforts.
AI helps in Smart Disaster Response
AI is a helpful tool for forecasting natural disasters.
Take wildfires, for example. They’re very difficult to identify until sometimes it’s too late. Sometimes remote areas make this even harder, but having a tool like Arnowa’s Smart Forest Monitoring utilises AI in an effort for early detection. Through using smart sensors and CCTV monitoring, its possible to integrate video analytics of vast areas with data such as temperature, humidity, CO2, and more. These multi-parameteric data can be gathered and trends developed utilising AI, effectively utilising models to flag Forest Fires with real-time alerts to authorities. This gives them a real chance to address fire risks before they spread out of control.
The bottom line:
If the correct resources are used, the answer is a whole-hearted yes.
The future of AI holds huge potential to decrease emissions and positively help our environment.
At Arnowa, we’ve recognised the role of AI for our planet and incorporated algorithms into our user-friendly data analytics, visualisation, and control platform: Carbon. We’re committed to putting technology to work and securing an environment-friendly future.
Click here and check out more ways to implement smart technology into your surroundings!
