Ontology of precision agriculture design: problem state, solution approaches

The development of aerospace and information technologies, along with the successes in agro chemistry, seed production and biology in general, made it possible to raise the efficiency of farming and crop production. The article provides a brief overview of the work in the field of "Precise farming". The issues of information support of Precise farming in the field of rational resource allocation based on remote sensing of the Earth (RS) are considered. Various types of aircraft from space satellites to drones capable of carrying out remote sensing for agricultural producers are considered. The results of monitoring of agricultural lands allow to make local and strategic decisions in an operative mode on a situation that in real life is characterized by great dynamics. The availability of appropriate tools in the form of knowledge and data bases and decision support systems increases the efficiency of farming. Various subject ontologies (ontologies of plants, ontology of plant features, ontology of experimental conditions, etc.) and ontology of tasks solved in the field of Precise farming are considered. The original results of ontological modeling of the investigated area are presented on the basis of the knowledge base designer, developed by the company "Smart Solutions". To solve the problem of resource allocation and work planning, it is proposed to use the multi-agent approach.