Sustainable AI

In this lesson, we will take a look at Sustainable AI. Sustainable AI can help address environmental challenges in a more proactive and effective way.

At the end of the lesson, you will be able to:

• Understand the advantages and disadvantages of artificial intelligence for our environment
• List the advantages and disadvantages of environmental solutions supported by artificial intelligence

Understand the importance of green AI in agriculture

During the lesson, you must read the written explanations and follow the given instructions for interactive elements. To achieve the designated learning outcomes Roby supports you during the learning process by offering relevant training content, like media, interactive activities, etc. 

Environmental Impact of AI

AI and environmental sustainability

• AI can apply powerful predictive capabilities and intelligent grid systems to manage the supply and demand of renewable energy. For example, more accurate weather forecasts can optimize efficiency, cut costs, and unnecessary carbon pollution generation.
• Using EV (Electric Vehicle) has some advantages, for example, reduction of traffic congestion and air pollution, improvement of supply chain logistics, such as the transport of cargo, warrant more autonomous driving capability.
• Smart LED Lighting has been applied to street lights. Smart Grids mean renewable energy resources, smart meters, smart appliances, and more.
• AI integrated with satellite imagery can sense changes in land use- streamlining agricultural inputs and returns based on supply and demand.

Pollution Monitoring & Early Detection- pollution sources to be detected much earlier than before.

Let’s check your knowledge! What is the impact of artificial intelligence on our environment? (Matching pairs)

https://www.techtarget.com/searchenterpriseai/tip/Top-advantages-and-disadvantages-of-AI

• As with any technological advancement, there are always advantages and disadvantages to adopting AI.
• On the one hand, AI offers benefits such as 24/7 availability, scalability, improved accuracy, and enhanced safety. It can also handle mundane and repetitive tasks, freeing up humans for more complex and creative work.
• However, there are also potential drawbacks, such as the cost of implementation, degradation over time, and the risk of skill loss and job displacement for humans.
• Additionally, some argue that AI lacks creativity and empathy and that increased reliance on technology could lead to laziness and other negative societal impacts.

It’s important to weigh these pros and cons carefully before deciding to adopt AI in any given context.

Let’s check your knowledge! What are the advantages and disadvantages of using AI?

https://www.aitimejournal.com/how-ai-can-improve-environmental-sustainability/

https://www.dreamstime.com/royalty-free-stock-photos-robot-image9055388

https://www.techtarget.com/searchenterpriseai/tip/Top-advantages-and-disadvantages-of-AI

Green AI Practices

Innovations of artificial intelligence in agriculture

As someone who is passionate about the environment and sustainability, I am always interested in learning about new technologies that can help improve agricultural practices. It’s amazing to see how far we’ve come in terms of utilizing artificial intelligence in agriculture. From precision farming to crop monitoring, AI-powered solutions are revolutionizing the way we grow crops and manage resources. These innovations are not only helping farmers increase their yields, but they’re also reducing waste and creating more sustainable practices for the future. It’s exciting to think about what the future holds for AI in agriculture and how it will continue to shape the industry for years to come. 

Let’s take a look at some of the innovations that we can thank for artificial intelligence.

1. Crop monitoring 

Crop monitoring involves the use of AI-powered sensors, drones, and satellites to monitor crop fields, salt quality, and moisturizing.  This technology can provide farmers with real-time data. Farmers can take proactive process steps to prevent crop damage and ensure a healthy harvest.

2. Precision farming 

Precision farming involves the use of AI algorithms to analyze data on weather patterns solve quality and crop routes to optimize planting, fertilizing, and harvesting. This technology can help farmers optimize crop fields by identifying the best time to harvest crops, analyzing data on weather patterns, and solving quality.

3. AI in livestock farming 

Livestock monitoring involves the use of AI Powers sensors to monitor the health behavior and feeding patterns of livestock. 

4. Crop and soil analysis

The analysis involves the use of AI algorithms to analyze data on soil samples to determine nutrient levels and recommend optimal fertilized reviews. This technology can help farmers optimize their crop fields and reduce waste by identifying the best type and amount of fertilizers.

5. Crop forecasting

Forecasting involves the use of AI algorithms to analyze data on weather patterns and solve quality and crop roads. Technology can help farmers plan for the future and make informed decisions on when to plant and harvest growth.

6. Weed best detection 

This technology can help farmers take corrective action before the damage is done and reduce the amount of pesticides used by detecting and identifying weeds.

7. Irrigation management 

This technology can help farmers optimize their water usage and reduce costs by identifying the best time to irrigate crops. By analyzing data on weather patterns and solving quality farmers can also make informed decisions on irrigate and how much water to use.

8. Harvesting

Harvesting involves the use of AI-powered robots to harvest crops reducing the need for manual labor and increasing efficiency by using a powered robot and also reduces the risk of injury to workers and improves safety in the field. 

9. Pollination

Pollination involves the use of AI-powered drones that can mimic the pollination behavior of these. These drones are equipped with cameras and sensors that can detect flowers.

The integration of AI technology in agriculture has the potential to revolutionize the industry, leading to increased efficiency and sustainability. By leveraging the power of AI, farmers can make informed decisions based on data analysis, resulting in better crop yields, reduced costs, and optimized production. This is an exciting time for agriculture and AI technology will play a key role in shaping the future of the industry.

Let’s check your knowledge! What are the innovations of artificial intelligence in agriculture? (multiple choice quiz)

Examples from practice

 Below, we look at some examples of how researchers are already using artificial intelligence, as well as aspects of the technology’s sustainable and fair use.