FeedEfficiencyService: integração de bases heterogêneas e uso de ontologias aplicados a análise de índices de eficiência alimentar de bovinos leiteiros

Abstract

With today's increasingly demanding market, dairy farmers need to cut costs and make their herds competitive. Increased demand for food, reduction of land available for production and increases in animal feed costs are causes for the search for more efficient production systems. In addition, other challenges are observed, such as need for animal well-being and the environmental impacts of agriculture, causing lower profit margins for producers. Thus, the identification of the most efficient system for animals feed is an economical alternative to be adopted. In addition, with food efficiency, in addition to economic impacts, environmental impacts are observed, since efficient animals produce less nutrient wastage and excretions. In this sense, the computational support has provided alternatives to the identification of more efficient animals and, consequently, providing economic and environmental gains. This work presents an integrative architecture capable of organizing animal data and experiments. And, using ontologies and inference machines, the architecture is also able to classify the animals under the food efficiency indexes and present them through visualizations, providing support to the researches of improvement of dairy cattle developed by Embrapa Gado de Leite. The purpose of this work is, based on the use of ontologies and data analysis, to discover new knowledge and new relationships in the several experiments bases. Considering the results obtained through the case study, it can be said that the architecture provided support to the daily routine of the Embrapa Gado de Leite researchers.