5 Ways AI Can Save The Planet

AI can use advanced prediction skills and intelligent grid systems to regulate the supply

The history of artificial intelligence. With breakthroughs in Big Data, Hardware, and increasingly sophisticated AI Algorithms, it appears like all of the elements are coming together to create significant changes in our daily lives. Because of these improvements, saving the Earth does not appear to be as difficult.

1. Renewable Energy & Clean Fuels: To manage the supply and demand for renewable energy, artificial intelligence may use advanced forecasting skills and intelligent grid systems. More precise weather forecasts, for example, can improve efficiency, save expenses, and reduce wasteful carbon dioxide emissions. It may also increase energy storage, efficiency, and load control, as well as aid in the integration and reliability of renewables. As a result, dynamic pricing and trading will become easier, resulting in market incentives.

2. Electric Vehicles: With the emergence of firms such as Tesla and rising petroleum prices, more businesses are focusing their attention on the EV industry. Due to growing crude oil costs and increased demand for gasoline, gas prices in 2021 will reach their highest average nominal price since 2014. In 2021, the average retail price of gasoline in the United States is $3.01 a gallon, and this price has continued to rise.

3. Better Conservation of Natural Resources: According to research produced by the Organization for Economic Cooperation and Development (OECD), 62 billion tons of natural resources, such as minerals, timber, metals, and so on, are removed from the earth. Each and every year! As if that weren't awful enough, the research also claims that 20% of those resources are utterly squandered. So, we certainly have a problem with resourcefulness.

4. Sustainable Land Use: Changes in land use, vegetation, forest cover, and the aftermath of natural disasters may all be detected using artificial intelligence and satellite photography. The application of AI-augmented agriculture via robots allows for the early diagnosis of crop illnesses and concerns.

5. Pollution Monitoring & Early Detection: There are currently air purifiers with an integrated artificial intelligence system that can collect real-time air quality and ambient data and modify filtration efficiency. Moreover, warnings about pollution levels in metropolitan areas may be conveyed to consumers using AI-powered simulations.