id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3975	D. Dasu	Comparative Analysis of Machine Learning Algorithms for Water Quality Index Prediction	2025	10	.pdf	application/pdf	3767	237	39	The importance of quality water cannot be stressed in the field of aquaculture where water quality directly impacts the growth and health of aquatic organisms. The study emphasized ANN’s capability to model complex relationships in water quality data and underscored the need for robust monitoring systems to manage upstream irrigation and pollution impacts.11 Al Shehhi, Maryam R and Abdullah Kaya (2020) explored SARIMA, regression, and neural networks for forecasting water quality parameters such as chlorophyll-a (Chl-a), fluorescence line height (FLH), and sea surface temperature (SST) using MODIS satellite data from 2003 to 2012 in the Arabian Gulf.	cache/cana-3975.pdf	txt/cana-3975.txt