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grys-upm/Spatio-Temporal-Semantic Data Model for Precision Agriculture

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Oct 2022Publisher:ZenodoFunded by:EC | AFarCloud
Authors: De La Parte, Mario San Emeterio; Serrano, Sara Lana; Díaz, Vicente Hernández; Martínez-Ortega, José-Fernán;
Code repository: https://github.com/grys-upm/Spatio-Temporal-Semantic_DataModel/tree/v1.0.0

doi: 10.5281/zenodo.7263254 , 10.5281/zenodo.7263253

grys-upm/Spatio-Temporal-Semantic Data Model for Precision Agriculture

Abstract

The set of Schemas defining the modeling of a novel Spatio-temporal-Semantic Data Model for Precision Agriculture IoT devices. Schemas for modeling observations captured by sensors or devices, collars fitted to the necks of livestock, and vehicle state-vectors are included.

Keywords

Data Model, Precision Agriculture, Spatio-Temporal-Semantic, Json Schemas

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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