Machine Learning Techniques for Environmental Monitoring and Prediction

Abstract

In this paper, we explore the application of machine learning techniques for environmental monitoring and prediction. By harnessing large datasets related to environmental parameters, machine learning models can predict changes in weather patterns, track pollution levels, and assist in resource management. The study provides insights into various algorithms and methodologies that enhance prediction accuracy and efficiency, contributing to the development of sustainable environmental strategies.