QR Codes: Outlook for Food Science and Nutrition.
Identifieur interne : 000B62 ( Ncbi/Merge ); précédent : 000B61; suivant : 000B63QR Codes: Outlook for Food Science and Nutrition.
Auteurs : Javier Sanz-Valero [Espagne] ; Luis M. Álvarez Sabucedo [Espagne] ; Carmina Wanden-Berghe [Espagne] ; Juan M. Santos Gago [Espagne]Source :
- Critical reviews in food science and nutrition [ 1549-7852 ] ; 2016.
Abstract
QR codes opens up the possibility to develop simple-to-use, cost-effective-cost, and functional systems based on the optical recognition of inexpensive tags attached to physical objects. These systems, combined with Web platforms, can provide us with advanced services that are already currently broadly used on many contexts of the common life. Due to its philosophy, based on the automatic recognition of messages embedded on simple graphics by means of common devices such as mobile phones, QR codes are very convenient for the average user. Regretfully, its potential has not yet been fully exploited in the domains of food science and nutrition. This paper points out some applications to make the most of this technology for these domains in a straightforward manner. For its characteristics, we are addressing systems with low barriers to entry and high scalability for its deployment. Therefore, its launching among professional and final users is quite simple. The paper also provides high-level indications for the evaluation of the technological frame required to implement the identified possibilities of use.
DOI: 10.1080/10408398.2012.742865
PubMed: 26047907
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pubmed:26047907Le document en format XML
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<front><div type="abstract" xml:lang="en">QR codes opens up the possibility to develop simple-to-use, cost-effective-cost, and functional systems based on the optical recognition of inexpensive tags attached to physical objects. These systems, combined with Web platforms, can provide us with advanced services that are already currently broadly used on many contexts of the common life. Due to its philosophy, based on the automatic recognition of messages embedded on simple graphics by means of common devices such as mobile phones, QR codes are very convenient for the average user. Regretfully, its potential has not yet been fully exploited in the domains of food science and nutrition. This paper points out some applications to make the most of this technology for these domains in a straightforward manner. For its characteristics, we are addressing systems with low barriers to entry and high scalability for its deployment. Therefore, its launching among professional and final users is quite simple. The paper also provides high-level indications for the evaluation of the technological frame required to implement the identified possibilities of use.</div>
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