Work

Assessing Hydrological Factors Affecting the Growth of Cirrhinus cirrhosus Using Python

Year: 2024

Type: article

Abstract: This study highlights the role of computer based Python programming (which is an interpreted, object-oriented, high-level computer programming language with dynamic semantics) in carp aquaculture by delivering precise and efficient growth assessments. The condition index of the cultured species, Cirrhinus cirrhosus, showed variations across the three ponds, namely Pond 1 (P1), Pond 2 (P2), and Pond 3 (P3). By addressing the hydrological parameters impacting pond performance and harnessing Python programming technologies, aquaculture practices can be optimized for greater productivity and sustainability. Future research should aim to improve the accuracy of Python-based models and explore new applications to further advance aquaculture practice.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13620063

Authors: Mitra, Abhirup, Pramanick, Prosenjit, Sengupta, Goutam, Mitra, Abhijit

Institutions: Techno India University, University of Calcutta

Language: English

Topic: Aquaculture Nutrition and Growth

Subfield: Aquatic Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Clean water and sanitation

Open Access status: green

OpenAlex ID: W6911758125

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