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Application of Artificial Intelligence in Curbing Air Pollution: The Case of India

机译:人工智能在遏制空气污染中的应用 - 印度案例

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Air pollution is the dissemination of toxic chemicals and compounds in the air, detrimental to the human well-being and the ecology. Though the general perception is that pollution is proportionate to human activities but we largely overlook the natural resources such as fossil fuels combustion. Oblivious of our own actions, Artificial Intelligence (AI) has become a decisive enabler to better administer the impact of climate change and protect the environment. The term was coined in 1956 by John McCarthy and is now an adept field in terms of providing efficiency and control over all prevalent things. This paper focuses on the air quality in the Indian demographic perimeter and how AI tools have been a key moderator of the same. An extensive study on a case study has also been carried further in the direction. The data used in our study has come from kaggle, aiq.in and Central Pollution Control Board (CPCB). Further discussion and case study reasoning has been spotlighted to minimizing air pollutants by appropriate tools, maintenance methods, limiting the scope of pollutant sources and machine learning.
机译:空气污染是传播中毒化学品和空气中的化合物,对人类福祉和生态有害。虽然一般性看法是污染与人类活动成比例,但我们在很大程度上忽略了化石燃料燃烧等自然资源。无知我们自己的行为,人工智能(AI)已成为一个决定性的推动者,以便更好地管理气候变化的影响并保护环境。该术语于1956年由John McCarthy创造,现在是提供效率和控制所有普遍存在的东西的擅长领域。本文侧重于印度人口统计周长的空气质量以及AI工具如何成为相同的关键主持人。对案例研究的广泛研究也在方向上进一步携带。我们研究中使用的数据来自卡格林,AIQ.IN和中央污染控制委员会(CPCB)。进一步的讨论和案例研究推理已经被认为通过适当的工具,维护方法,限制污染物来源和机器学习范围来最小化空气污染物。

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