Development of a Knowledge Base in the "Smart Farming" System for Agricultural Enterprise Management

Increasing the efficiency of agricultural production is a very important task. To solve this problem, it is proposed to use the "Smart Farming" cloud system for precision farming management. The novelty of the proposed approach lies in using the knowledge base and multi-agent technology to develop coordinated decisions on management of agricultural enterprises. The paper focuses on development of the knowledge base in the "Smart Farming" system on precision agriculture. Information storage is organized in the form of a semantic network of concepts and relations on the "All about the concept" principle in a single repository, which facilitates the work of farmers with this resource. The paper covers storage, editing, verification, and visualization of knowledge representation about the domain of crop production, production resources, agricultural machinery, equipment and other material resources, as well as peculiarities of the tasks of precision farming. The knowledge base of plant production, built on ontological principles, will be useful to enterprise managers, agronomists, machine operators, planning services and other specialists of large, medium and small farms, as well as to individual farmers. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 13th International Symposium "Intelligent Systems" (INTELS'18).