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The volumes of agricultural data available are increasing. One of the obstacles faced in this context is to approach the data in Natural Language (NL) for information management and process improvements of a culture. This paper proposes the development of a Decision Support System for NL processing in the field of agronomy, using the data on the pests in the soybean crop that will be stored in a database, thus allowing consultations to build dialogues and obtain accurate diagnoses. The proposed theme indicated possibilities of positive effects and that may facilitate the work of agricultural professionals who need to be involved with a large volume of information.

Sistema de Apoio à Decisão por PLN para consultas de Pragas na Cultura da Soja