How AI can help Environment

How AI can help Environment

News: A recent study commissioned by tech giant Microsoft estimated that AI applications in the sectors of
agriculture, water, energy and transport could lead to a 4% cut in greenhouse gas emissions by 2030 — equivalent
to the annual emissions of Australia, Canada and Japan combined.
Instructions – Try to remember some of the example. Use such innovative example to add value to your answers.
 

Application of AI in managing environment:
Monitoring Deforestation

 Deforestation and land use changes cause more than 10% of global greenhouse gas emissions. Trees absorb carbon dioxide and store it for long periods of time, and when they’re cut down, much of that CO2 escapes into the atmosphere.
 To curb illegal land clearing, the nonprofit Rainforest Connection attaches acoustic monitoring sensors to trees that “eavesdrop” on the surrounding forest and transmit that audio in real-time to the cloud.
 Almost 600 of these devices, dubbed “guardians,” have been installed in 35 countries, from Brazil to Indonesia, Congo to the Philippines.
 The data is analyzed by a machine learning model that has been trained to recognize sounds linked to illegal logging, such as a chainsaw or truck. Alerts are then sent out to authorities on the ground. 

Cutting energy waste in buildings
 Using AI to optimize heating, ventilation, and air conditioning systems (HVAC) in buildings.
 Design firm Arup came up with an app called Neuron that uses 5G and Internet of Things sensors to gather real-time data from a building’s energy management system. 

Wildlife conservation
 Poaching and habitat destruction caused rhino numbers to dwindle throughout the 20th century.
 The South Africa-based company Rouxcel Technology has developed AI-enabled bracelets that fit around rhinos’ ankles to help conservation teams easily locate the animals and monitor their behavior in real time.
 The company’s algorithms use machine learning to spot when an animal is exhibiting abnormal movement patterns — a signal that it might be distressed. When poachers are close, it sends alert to Forest officials.
 

Smart Farming
 Agriculture, forestry and land use account for around 18% of global CO2 emissions.
 Algorithms can be used to make precise recommendations about plant health and exactly how much water and fertilizer to use. This can both boost yields and reduce wasted resources.
 

Climate Modelling
 Using AI to make predictions about climate patterns and inform climate policy.
 The UK’s Met Office, which uses AI to model climate patterns and inform government policy on climate change.
 

Carbon footprint reduction in the industry
 Using AI to optimize industrial processes and reduce carbon emissions
 Fero Labs’ AI-driven optimization software, which reduces the amount of mined ingredients used in steel production.