Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease

Trilles, S. ; Torres-Sospedra, J. ; Belmonte, Ó. ; Zarazaga-Soria, F.J. (Universidad de Zaragoza) ; González-Pérez, A. ; Huerta, J.

Resumen: In recent years, some official reports, to produce best products regarding quality, quantity and economic conditions, recommend that the farming sector should benefit with new tools and techniques coming from Information and Communications Technology (ICT) realm. In this way, during last decade the deployment of sensing devices has increased considerably in the field of agriculture. This fact has led to a new concept called smart agriculture, and it contemplates activities such as field monitoring, which offer support to make decisions or perform actions, such as irrigation or fertilization. Apart from sensing devices, which use the Internet protocol to transfer data (Internet of Things), there are the so-called crop models, which are able to provide added value over the data provided by the sensors, with the aim of providing recommendations to farmers in decision-making and thus, increase the quality and quantity of their production. In this scenario, the current work uses a low-cost sensorized platform, capable of monitoring meteorological phenomena following the Internet of Things paradigm, with the goal to apply an alert disease model on the cultivation of the vine. The edge computing paradigm is used to achieve this objective; also our work follows some advances from GIScience to increase interoperability. An example of this platform has been deployed in a vineyard parcel located in the municipality of Vilafamés (Castelló Spain).

Idioma: Inglés

DOI: 10.1016/j.suscom.2019.01.011

Año: 2020

Publicado en: Sustainable Computing-Informatics & Systems 28 (2020), 100309 [11 pp.]
ISSN: 2210-5379

Factor impacto JCR: 4.028 (2020)

Categ. JCR: COMPUTER SCIENCE, HARDWARE & ARCHITECTURE rank: 12 / 53 = 0.226 (2020) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 51 / 161 = 0.317 (2020) - Q2 - T1

Factor impacto SCIMAGO: 0.59 - Electrical and Electronic Engineering (Q1) - Computer Science (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T59-17R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88002-R

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)