MACHINE LEARNING IN ENVIRONMENTAL MONITORING

Mirjana Milutinović

DOI Number
https://doi.org/10.22190/FUWLEP241029014M
First page
155
Last page
160

Abstract


Rapid advances in artificial intelligence and machine learning techniques, the availability of large-scale data and the increased computational capabilities of machines open the door to the development of sophisticated methods in environmental monitoring and management systems. Machine learning is becoming a powerful tool that is changing the way environmental data is collected, analyzed and interpreted. By going beyond conventional methods, it enables systems to learn from data, identify patterns and draw conclusions with minimal human intervention. Machine learning algorithms can process vast amounts of complex data from diverse sources to provide insight into environmental changes, predict future trends and support decision-making. Using machine learning in the fight for a better and healthier ecosystem has a number of potential long-term benefits. This paper will outline how machine learning can be put to use in environmental monitoring.


Keywords

machine learning, environmental monitoring

Full Text:

PDF

References


Branković S. (2017.), Artificial Intelligence and Society, Institute for Political Studies, Belgrade

Pečut L., (2019.), Recurrent neural networks, University of Zagreb, Faculty of Science

Mančić M., (2019.), Neural network architecture encoder-decoder for machine translation, Faculty of Sciences and Mathematics, University of Niš

Zdravković M., lectures „Data analysis in companies“, Faculty of Mechanical Engineering, University of Niš

Szramowiat-Sala K. (2023.), Artificial Intelligence in Environmental Monitoring: Application of Artificial Neural Networks and Machine Learning for Pollution Prevention and Toxicity Measurements, doi: 10.20944/preprints202307.1298.v1

Mahalle P.N. (2024.), Machine Learning for Environmental Monitoring in Wireless Sensor Networks, doi: 10.4018/979-8-3693-3940-4

Meyer H., Machine Learning Methods for Environmental Monitoring, MDPI Journal Remote Sensing ISSN 2072-4292

The Role of Machine Learning in Environmental Monitoring and Management: A Comprehensive Overview (2023.) available at: https://medium.com/@binmile/the-role-of-machine-learning-in-environmental-monitoring-and-management-a-comprehensive-overview-7ca6e79e4d7f

Diaz M. (), Machine Learning in Environmental Monitoring, available at: https://gemmo.ai/machine-learning-in-environmental-monitoring/

Machine Learning for Environmanetal Monitoring| A Comprehensive Overview (2024.), available at: https://medium.com/@saiwadotai/machine-learning-for-environmental-monitoring-a-comprehensive-overview-98734f75248a




DOI: https://doi.org/10.22190/FUWLEP241029014M

Refbacks

  • There are currently no refbacks.


ISSN   0354-804X (Print)

ISSN   2406-0534 (Online)