• J. Meenakshi
• Dr. Ashish Tamrakar
• Khusboo Sao
• MD. Arif Khan

The assessment and monitoring of water quality are crucial for protecting human health and the integrity of ecosystems. Conventional approaches typically require substantial resources for laboratory testing and field sampling, leading to time and resource constraints. Recently, there has been a rise in the utilization of data analysis methods as effective tools for water quality evaluation. This study investigates a range of data analysis techniques employed in water quality assessment, encompassing statistical analysis, machine learning algorithms, and remote sensing technologies. The effectiveness of these methodologies in delivering timely and precise information for decision-making processes is examined, alongside their potential utility across diverse water systems.

1. Water quality analysis 2. Laboratory testing 3. Field sampling 4. Remote sensing technologies 5. Efficacy

"PRECISION MONITORING: DATA ANALYSIS INNOVATIONS FOR WATER QUALITY ASSURANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q84-q89, April-2024, Available :http://www.jetir.org/papers/JETIR2404H11.pdf

"PRECISION MONITORING: DATA ANALYSIS INNOVATIONS FOR WATER QUALITY ASSURANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq84-q89, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H11.pdf