{"id":53067,"date":"2020-03-19T07:00:42","date_gmt":"2020-03-19T06:00:42","guid":{"rendered":"https:\/\/www.clickworker.com\/?p=53067"},"modified":"2022-07-25T17:07:07","modified_gmt":"2022-07-25T16:07:07","slug":"artificial-intelligence-and-environment","status":"publish","type":"post","link":"https:\/\/www.clickworker.com\/customer-blog\/artificial-intelligence-and-environment\/","title":{"rendered":"What are the benefits of artificial intelligence (AI) for the environment? \u2013 Seven astonishing insights"},"content":{"rendered":"
<\/p>\r\n
Will AI-driven cars save the roads from a total gridlock? Can artificial intelligence help live a more resource-efficient life? Will artificial intelligence make the supply of energy easy to achieve? We provide insight into seven AI and the environment questions.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n
In times of climate change, water has become a scarce commodity in many regions of the world. Just look back to the summer of 2018, when many German farmers had to watch their crops wither in the fields. This period of drought continues to have an impact today. In a statement from February 7, 2020, the Saxon State Office for the Environment, Agriculture and Geology<\/a> announced that currently around 90 percent of the 150 monitoring stations evaluated were below the monthly typical groundwater level by an average of 65 cm. In other words, in agriculture astute water-conservation strategies are especially important. This is where AI can be of assistance.<\/p>\r\n The utilization of artificial intelligence enabled the E. & J. Gallo Winery to reduce its water consumption by 25 percent<\/a>. At the same time the winery was able to increase its earnings by 30 percent. For this purpose, data on weather, soil conditions, dryness, wind, etc. were compiled and evaluated by an artificial intelligence. In the end, the AI determined the irrigation required by each individual vine, which led to the results mentioned above.<\/p>\r\n AI also helps calculate the amounts of fertilizer needed and pest control, thus reducing the environmental impact of these substances. <\/p>\r\n More information about AI and agriculture is available on the website of the German Research Centre for Artificial Intelligence<\/a>.<\/p>\r\n\r\n In addition to e-mobility, the car industry is extremely interested in self-driving cars. It now seems reasonable to assume that self-driving cars could alleviate urban traffic, for example. Nobody would need a car anymore; people would simply wave down the next self-driving vehicle and have it take them to their destination. But that would mean that cars would no longer be anchored to private households. At the moment, this is rather unlikely, because most people are eager to have their OWN car. However, with today’s transport policy, autonomously driven cars would enable people who are currently not allowed to drive or cannot drive to make use of them, too. Children would drive to school on their own, the elderly would use them to get to the doctor \u2013 everyone with his own car. <\/p>\r\n Traffic would therefore increase rather than decrease. AI must therefore not ONLY lead to autonomous cars, it must also be combined with an intelligent traffic policy.<\/p>\r\n\r\n Artificial intelligence alone will not save biodiversity, but it can help. For instance, when it comes to putting a stop to poachers<\/a> faster. The PAWS (Protection Assistant for Wildlife Security) computer program, for example, makes predictions as to where poachers will strike so that gamekeepers can intervene accordingly.<\/p>\r\n Furthermore, AI can monitor changes in the development of species diversity. This is the aim of the AMMOD (Automated Multisensor station for Monitoring Of species Diversity)<\/a> project, which was set up in Germany. It combines data from automatically taken DNA samples, AI image recognition<\/a>, AI bioacoustics (bird calls, insect buzzing) and automated scent analyses. With relatively little effort and manpower, it tests the development of species diversity in Germany. The project started in the winter of 2019.<\/p>\r\n The open source software framework “Wildbook” has been active for some time. Here, AI image recognition is used to automatically check wildlife populations.<\/p>\r\n This video reveals more about “Wildbook”: https:\/\/youtu.be\/rQqao37u1wU<\/a><\/p>\r\n\r\n In Germany, the share of renewable energies in gross electricity consumption rose to 37.8 percent in 2018. In the previous year it was 36.0 percent. Of these, wind energy accounted for the largest share of renewable energy production with 26 percent. It was followed by biogenic fuels with 12 percent and photovoltaic with 11 percent. However, solar and wind energy are anything but easily calculable energy suppliers. If their share of the electricity mix continues to grow, the security of supply will be jeopardized, as both seem incalculable. At least that is what critics say. So are renewable energies a risk to security of supply in Germany? <\/p>\r\n2. Will there be less traffic if cars are autonomously driven? <\/h2>\r\n
3. Can AI save biodiversity?<\/h2>\r\n
4. Can AI lead to a more secure power supply? <\/h2>\r\n