Technical report: Logistic Growth Model for growth patterns of rabbits / Nor Hasliza Sabri, Nur Azira Azman and Nur Hazwani Abu Bakar

Sabri, Nor Hasliza and Azman, Nur Azira and Abu Bakar, Nur Hazwani (2016) Technical report: Logistic Growth Model for growth patterns of rabbits / Nor Hasliza Sabri, Nur Azira Azman and Nur Hazwani Abu Bakar. [Student Project] (Unpublished)

Abstract

A mathematical model is considered to study the behavioral growth patterns of rabbits. The Logistic Growth Model that described the basic dynamical features of the weight increase is developed. By using this Logistic Growth Model, the weight of any rabbit over a period of time based on the nutritional value of the feed can be predicted. The model have solved analytically by using separation of variable, monotone function, integration and factorization. The results are obtained by developing a MATLAB programming which is presented graphically. From the result it can be seen that sweet potato with the nutrient 75g have fastest growth pattern. Meanwhile, maize grain with the 125g have slow growth pattern in rabbit. These results show the selection of the best feed for rabbits proves beneficial because it can help to predict the weight over period of time with the suitable nutritional value of feed. The minimum nutrient of feed that given to the rabbit is the best result compared to the maximum nutrient of feed.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Sabri, Nor Hasliza
2014651628
Azman, Nur Azira
2014856484
Abu Bakar, Nur Hazwani
2014488448
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Mustapha, Norzieha
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Study and teaching
Q Science > QA Mathematics > Equations
Q Science > QA Mathematics > Analysis
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Programme: Mathematics Project (MAT660)
Keywords: Logistic Growth Model, growth, rabbits, nutrient, MATLAB
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/111594
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