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Prediction of Fish Availability Using Regression Analysis in Vembanad Lake
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Author(s): Sobha Merina George (Department of Zoology, Kristu Jyoti College of Management and Technology, Changanacherry, India), Issac George (Department of Zoology, St. Berchman's College, Changanacherry, India), Suma M. Abraham (Department of Zoology, St. Berchman's College, Changanacherry, India)and Prasad Mathew (Department of Zoology, St. Berchman's College, Changanacherry, India)
Copyright: 2026
Pages: 26
Source title:
Advanced AI and Prompt Engineering Techniques and Resources
Source Author(s)/Editor(s): Houssem Chemingui (Brest Business School, France)and Munir Ahmad (Survey of Pakistan, Pakistan)
DOI: 10.4018/979-8-3373-0250-8.ch008
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Abstract
Fish diversity is correlated with the biotic and abiotic factors in the aquatic environment. Fish samples from the Vembanad lake were collected for three consecutive years. Sodium, Potassium, Magnesium, Manganese, Copper, Iron, Calcium, Dissolved Oxygen, BOD, pH, salinity, and temperature in the water samples were analyzed using APHA (1998). Fish diversity was analyzed using diversity indices such as Berger Parker index, Shannon Weiner index, Simpson Index, Hills number and Margalef's index. Pearson's correlation coefficient was using to find out correlation among variables. Regression analysis have been shown that temperature is the most predictable variable for the fish diversity in Vembanad ecosystem.
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