ABSTRACT
Soil analysis laboratories demand large volumes of data used in precision agriculture. Among them, parameters that represent soil fertility such as texture and organic matter guide the fertilization process. However, this process can take time, thus limiting its usefulness. Therefore, this article proposes an ontology called Tellus-Onto that extends the state of the art in the classification of Brazilian soils according to the organic and textural composition. A series of axioms and semantic rules provided consultations and inferences about their instantiated basis. In order to test the ontology, we added 98 soil sample results and their classifications were inferred precisely and automatically.
Laboratórios de análises de solos demandam volumes grandes de dados empregados na agricultura de precisão. Dentre eles, parâmetros que representam fertilidade de solos como textura e matéria orgânica orientam o processo de adubação. No entanto, este processo pode se tornar demorado, limitando assim sua utilidade. Sendo assim, este artigo propõe uma ontologia denominada Tellus-Onto que estende o estado da arte na classificação de solos brasileiros de acordo com a composição orgânica e textural. Uma série de axiomas e regras semânticas foram empregadas para proporcionar a realização de consultas e inferências sobre sua base instanciada. Para testar a ontologia foram instanciados 98 resultados de amostras de solos e inferidos suas classificações de modo preciso e automático.
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