A Systematic Review of Knowledge Representation Techniques in Smart Agriculture (Urban)

Urban agriculture is the practice of growing food inside the city limits. Due to the exponential amount of data generated by information and technology-based farm management systems, we need proper methods to represent the data. The branch of artificial intelligence known as “knowledge representatio...

Full description

Saved in:
Bibliographic Details
Published inSustainability Vol. 14; no. 22; p. 15249
Main Authors Bhuyan, Bikram Pratim, Tomar, Ravi, Cherif, Amar Ramdane
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2022
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Urban agriculture is the practice of growing food inside the city limits. Due to the exponential amount of data generated by information and technology-based farm management systems, we need proper methods to represent the data. The branch of artificial intelligence known as “knowledge representation and reasoning” is devoted to the representation of information about the environment in a way where a computer system can utilise it to accomplish difficult problems. This research is an extensive survey of the knowledge representation techniques used in smart agriculture, and specifically in the urban agricultural domain. Relevant articles on the knowledge base are extracted from the retrieved set to study the fulfillment of the criteria of the system. Various interesting findings were observed after the review. Spatial–temporal characteristics were rarely approached. A generalised representation technique to include all domains in agriculture is another issue. Finally, proper validation technique is found to be missing in such an ontology.
ISSN:2071-1050
2071-1050
DOI:10.3390/su142215249