Volume no :
9 |
Issue no :
2
Article Type :
Scholarly Article
Author :
Mr. Krushna Shalikram Telangre, Prof. Ashok Krushna Patil, Dr.Prashant Shriram Gawande
Published Date :
June, 2025
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 11
Abstract : The exponential growth of data from environmental monitoring systems, remote sensing technologies, and Internet of Things (IoT) devices has given rise to new opportunities for analyzing and addressing environmental challenges. Data Science and Big Data analytics provide powerful tools for processing, analyzing, and deriving insights from vast and complex datasets to improve sustainability efforts. This paper explores the role of Data Science and Big Data in environmental analytics, including applications in climate change monitoring, air quality assessment, biodiversity conservation, and disaster management. Challenges such as data integration, computational limitations, and ethical concerns are also discussed. The paper concludes with future directions for leveraging these technologies for environmental sustainability, emphasizing advancements in AI, cloud computing, and real-time analytics.
Keyword Data Science, Big Data, Environmental Analytics, Climate Change, IoT, Sustainability, Machine Learning, Remote Sensing, Cloud Computing, Predictive Analytics
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