Smart agricultural environments using knowledge representation with the use of IoT: Bibliometric Review
Keywords:Knowledge Representation, Arduino, Iot, Intelligent Systems, Smart Agricultural Environments
This review aims to show how to collaborate to reduce malnutrition through cultivation in small urban areas for the production of healthy foods through technologies. Therefore, this paper is focused on knowledge representation for smart farms. In addition, mention the trends of the technologies covered, allowing us to infer how the state of the art in the area will develop in the near future. The survey was done through a bibliometric review conducted according to (PRISMA - Preferred Reporting Items for Systematic Reviews and Meta-Analyzes), the protocol of preferred report items for systematic reviews and meta-analyzes. The results showed that the most covered topics when talking about Intelligent Systems for agricultural environments using knowledge representation are expert systems with the use of rules, because it is the best known way of representing knowledge currently used in small systems using production systems to encode condition-action rules.
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We at this moment declare that the present paper is our original work and has not been previously considered, either in whole or in part, for publication elsewhere. Besides, we warrant the authors will not submit this paper for publication in any other journal. We also guarantee that this article is free of plagiarism and that any accusation of plagiarism will be the authors' sole responsibility. The undersigned transfer all copyrights to the present paper (including without limitation the right to publish the work in any and all forms) to BJEDIS, understanding that neglecting this agreement will submit the violator to undertake the legal actions provided in the Law on Copyright and Neighboring Rights (No. 9610 of February 19, 1998). Also, we, the authors, declare no conflict of interest. Finally, all funders were cited in the acknowledgments section.