Modeling of Polyculture Fish Feed Using Mathematical Programming
. Chetna, . Krishan, Vikash Siwach, Manju Singh Tonk, Phagun Mehta, Anu Tonk
Asian Journal of Agricultural Extension, Economics & Sociology · pp. 116–129 · Published 5 Oct 2022
10.9734/ajaees/2022/v40i111692Abstract
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.
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