id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fens-978	BOMANI, Oswald Peter	SOFT COMPUTING APPLICATION TO PREDICT IRRIGATION WATER QUALITY INDEX, CASE STUDY OF OUED HAMMAM NORTH-EAST ALGERIA	2023	11	.pdf	application/pdf	4594	229	54	Thus, the current study suggests that artificial neural network (ANN) models are the most effective tools for predicting water quality parameters. Oswald Peter BOMANI, Soft computing application to predict irrigation water quality index, case study of Oued Hammam North-East Algeria, Food and Environment Safety, Volume XXII, Issue 3 – 2023, pag. 188 – 198 189 increases the Sodium accumulation in the leaf tissue	cache/fens-978.pdf	txt/fens-978.txt