Abstracto
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ABSTRACT
This article presents the approach to develop a tool that allows the immediate characterization of environmental parameters. To achieve this objective, it is necessary to investigate different data extraction techniques, transformation methods and categorical data analysis. This will allow understanding of the effects of environmental variables such as temperature, relative humidity, and heat index on birds within a warehouse environment at different times of the year. The tool aims to provide intelligent decision support to poultry producers, enabling project optimization, profitability, and effective mitigation of the significant impact of climate change on the sector. To carry out this research, a comprehensive review of concepts, different techniques and existing methodologies was carried out. This review concluded that the application of the Cross-Industry Standard Process for Data Mining (CRISP-DM) management methodology ensures a systematic data mining process. In addition, this methodology facilitates the understanding of the knowledge discovery process, leading to effective project planning and execution. The data mining tool selected for this research was WEKA, an open-source data extraction software tool. WEKA provides an organized collection of state-of-the-art machine learning algorithms and data pre-processing tools. It has an easy-to-use interactive graphical interface that facilitates data exploration and allows the configuration of large-scale experiments on distributed computing platforms, as well as the design of configurations for processing transmitted data. Three classification algorithms, J48, LMT and REPTree, were selected for the modelling design, which allowed comparison and selection of the tool providing the best results. Finally, the model developed with the REPTree classification algorithm was recommended for this project. This research represents one of the most significant contributions to data mining in the context of the Smart Poultry Farm system. It serves as a basis for addressing future environmental challenges and making informed decisions in the poultry industry.
AUTHORS
Clifton Clunie - Universidad Tecnológica de Panamá
Gloris Batista-Mendoza - Universidad Tecnológica de Panamá