Knowledge-Based Decision Support System Framework for Swine Productive Management

Knowledge-Based Decision Support System Framework for Swine Productive Management

  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-5
Year of Publication : 2024
Author : Evelyn M. Baesa, Thelma D. Palaoag
DOI : 10.14445/22315381/IJETT-V72I5P120

How to Cite?

Evelyn M. Baesa, Thelma D. Palaoag, "Knowledge-Based Decision Support System Framework for Swine Productive Management," International Journal of Engineering Trends and Technology, vol. 72, no. 5, pp. 194-202, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I5P120

Abstract
The swine industry plays a vital role in global food production, and efficient swine management is essential for ensuring sustainability and profitability. This research presents the design and development of a robust Decision Support System (DSS) framework tailored to the specific needs of swine productive management. The proposed framework integrates data analytics, predictive modeling, and expert knowledge to optimize breeding efficiency, minimize resource waste, and enhance overall farm productivity. This article discusses the theoretical foundations, architecture, and key components of the DSS framework, providing insights into its potential applications within the swine industry. The framework's adaptability and scalability make it a valuable tool for swine producers and researchers alike, offering a comprehensive solution to address the complex challenges of swine management. Furthermore, this provides to equip swine farmers technological advantage and enables strategic methods in managing their farms. Through trend analysis, recommendation models, and user feedback, the developed system empowers farmers with actionable insights to improve breeding efficiency and overall farm productivity.

Keywords
Decision Support System, Agriculture, Swine production, Farming, Technology.

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