Ontologia aplicada ao sistema de cultivo da soja.

Abstract

Agriculture has been making great technological advances due to the incorporation of modern technologies. One of the consequences is the need to deal with a large volume of generated data. To constantly reduce the real efforts and the searches, in time, the most efficient strategies and the most efficient decisions, they optimize the yield and the agricultural inputs and the natural resources. This requires a data-intensive approach and puts technology and data aspects at the center of attention, examining processes, and relationships in business areas. However, there is a wide availability of sources and data in different formats. Consequently, to deal with the heterogeneity of these data, there is a need to create solutions that reduce this disparity between the different information systems that appear at each stage of the agricultural production processes. In this sense, ontologies are defined as information that allow knowledge within a given domain, the sharing and set of information, as well as the integration of information and interoperability between systems. Given this context, in this research, the objective was to map the main classes of data generated during each stage of the processes involved in the soybean cultivation system, through a domain ontology, with the purpose of contributing to the analysis and management of data, and resources that facilitate the exchange of information between agents and systems that work in these stages. To create the ontology, the Ontology Development 101 methodology and the ontology editing tool Protégé were used. As a result, a proposed semantic knowledge model is presented to represent the main classes of data mapped in the soybean cropping system.