2013
DOI: 10.1007/978-3-642-39787-5_9
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A Semantic Technology Supported Precision Agriculture System: A Case Study for Citrus Fertilizing

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Cited by 3 publications
(3 citation statements)
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“…Soil humidity and temperature are measured by their platform in order to automate irrigation. As regards the adoption of semantic technologies in the IoT for agriculture, the work by Yuan et al [17] (in collaboration with ChinaMobile) deserves a mention. In their paper, a semantic framework to improve farmers' ability of decision making is proposed (e.g., when to fertilize).…”
Section: Related Workmentioning
confidence: 99%
“…Soil humidity and temperature are measured by their platform in order to automate irrigation. As regards the adoption of semantic technologies in the IoT for agriculture, the work by Yuan et al [17] (in collaboration with ChinaMobile) deserves a mention. In their paper, a semantic framework to improve farmers' ability of decision making is proposed (e.g., when to fertilize).…”
Section: Related Workmentioning
confidence: 99%
“…Their results highlight the advantages of an ontologybased approach in representing the model structure, equations, and symbols. Yuan et al (2013) explored the feasibility of applying semantic technologies to citrus modeling. In AGROVOC ontology, we found some basic concepts and terms related to citrus.…”
Section: Related Workmentioning
confidence: 99%
“…Beck et al (2010) and Yuan et al (2013) chose citrus as the domain for their ontology. They paid more attention to the domain-specific ontology than to AGROVOC.…”
Section: Introductionmentioning
confidence: 99%