Date of Publication

8-12-2023

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Mathematics with Specialization in Computer Applications

Subject Categories

Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics Department

Thesis Advisor

Angelyn R. Lao

Defense Panel Chair

Noel T. Fortun

Defense Panel Member

Mark Anthony A. Garcia

Abstract/Summary

Crop-livestock farming has been a method introduced in ancient civilizations where crops of different varieties are incorporated with one or more varieties of animal species. It provided opportunities for biodiversity in both plant and animal life in order to promote nutrient recycling, regulate pest infestations and optimize the available land area within their community. With the agricultural sector facing numerous challenges over the years with the rise of pest infestations in relation to targeted pests having an increased resistance to pesticides as well as a decline in land quality and quantity with the rise of industrialization, there has been numerous frameworks and research that propose revisiting the benefits from past methods for a more sustainable form of farming. In this paper, we aim to identify mutually beneficial crop-livestock systems with the use of Kosaraju’s algorithm in finding strongly connected components as a way to introduce systems that provide pest regulation and increase soil fertility. A multi-objective optimization such as epsilon-constraint method will be utilized to find the optimal solution to maximize pest control within the system and to maximize soil fertility.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Agriculture—Economic aspects—Mathematical models; Livestock; Farm management

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Embargo Period

8-11-2029

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Available for download on Saturday, August 11, 2029

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