Paper Info
Title
Ontology Based Approach for Precision Agriculture.
Abstract
In this paper, we propose a framework of knowledge for an agriculture ontology which can be used for the purpose of smart agriculture systems. This ontology not only includes basic concepts in the agricultural domain but also contains geographical, IoT, business subdomains, and other knowledge extracted from various datasets. With this ontology, any users can easily understand agricultural data links between them collected from many different data resources. In our experiment, we also import country, sub-country and disease entities into this ontology as basic entities for building agricultural linked datasets later.
Year
DOI
Venue
2018
10.1007/978-3-030-03014-8_15
MIWAI
DocType
Volume
ISSN
Journal
abs/1811.06884
Kaenampornpan M., Malaka R., Nguyen D., Schwind N. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2018. Lecture Notes in Computer Science, vol 11248. Springer, Cham
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Quoc Hung Ngo100.34
Nhien-An Le-Khac222449.63
M. Tahar Kechadi332659.59