Modeling of Polyculture Fish Feed Using Mathematical Programming

Tonk, Anu and Mehta, Phagun and Tonk, Manju Singh and Siwach, Vikash and Krishan, . and Chetna, . (2022) Modeling of Polyculture Fish Feed Using Mathematical Programming. Asian Journal of Agricultural Extension, Economics & Sociology, 40 (11). pp. 116-129. ISSN 2320-7027

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Abstract

This study incorporates the application of a linear programming technique for composition of fish feed mixture to minimize the cost without sacrificing the nutrients levels. Designing the best fish diet for fry, fingerling, and growth stages is the main goal of this study. Regarding nutrient composition and manufacturing costs, the study's results show that a variety of elements can be combined much more effectively than in commercially available feed. The combinations lead to significantly reduced costs while raising nutrient intake, which might be quite advantageous to neighboring fish farmers. . The suggested model was solved with Microsoft Excel to make it more user-friendly.

Item Type: Article
Subjects: Impact Archive > Agricultural and Food Science
Depositing User: Managing Editor
Date Deposited: 31 Oct 2022 07:00
Last Modified: 21 Dec 2023 06:15
URI: http://research.sdpublishers.net/id/eprint/26

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