@article{Trilles-Oliver2020f,

title = {Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture},

author = {Sergio Trilles-Oliver and Pablo Juan-Verdoy and Carlos Díaz-Avalos and S. Ribeiro and Marco Painho},

doi = {https://doi.org/10.3390/s20226597 },

issn = {1424-8220},

year  = {2020},

date = {2020-12-02},

journal = {Sensors},

volume = {20},

number = {22},

pages = {6597},

abstract = {Temperature, humidity and precipitation have a strong influence on the generation of diseases in different crops, especially in vine. In recent years, advances in different disciplines have enabled the deployment of sensor nodes on agricultural plots. These sensors are characterised by a low cost and so the reliability of the data obtained from them can be compromised, as they are built from low-confidence components. In this research, two studies were carried out to determine the reliability of the data obtained by different SEnviro nodes installed in vineyards. Two networks of meteorological stations were used to carry out these studies, one official and the other professional. The first study was based on calculating the homogenisation of the data, which was performed using the Climatol tool. The second study proposed a similarity analysis using cross-correlation. The results showed that the low-cost node can be used to monitor climatic conditions in an agricultural area in the central zone of the province of Castelló (Spain) and to obtain reliable observations for use in previously published fungal disease models.},

keywords = {Agriculture, crop monitoring, Sensor networks, Sensors},

pubstate = {published},

tppubtype = {article}

}

@article{Trilles-Oliver2018,

title = {A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards},

author = {Sergio Trilles-Oliver and Alberto González-Pérez and Joaquín Huerta-Guijarro},

doi = {10.3390/electronics7120419},

year  = {2018},

date = {2018-03-28},

journal = {Electronics},

volume = {7},

number = {12},

pages = {419},

abstract = {The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effects in today’s society, among which is the empowerment of citizens, called makers, who are themselves able to  generate citizen science or build assembly developments. Situated in the context described above, the current study follows a Do-It-Yourself (DIY) approach. In this way, it attempts to define a conceptual design of an Internet of Things (IoT) node, which is reproducible at both physical and behavioral levels, to build IoT nodes which can cover any scenario. To test this conceptual design, this study proposes a sensorization node to monitor meteorological phenomena. The node is called SEnviro (node) and features different improvements such as: the possibility of remote updates using Over-the-Air (OTA) updates; autonomy, using 3G connectivity, a solar panel, and applied energy strategies to prolong its

life; and replicability, because it is made up of open hardware and other elements such as 3D-printed pieces. The node is validated in the field of smart agriculture, with the aim of monitoring different meteorological phenomena, which will be used as input to disease detection models to detect possible diseases within vineyards.},

note = {IF: },

keywords = {Agriculture, crop monitoring, Internet of things, senviro},

pubstate = {published},

tppubtype = {article}

}

@article{GranellCanut2015,

title = {Editorial: Geospatial Data Capturing, Processing, Analysis, and Visualization in Agro-Geoinformatics},

author = { Carlos Granell-Canut and Sven Casteleyn and Clement Atzberger},

url = {http://journal.frontiersin.org/Article/10.3389/fenvs.2015.00076/abstract},

doi = {10.3389/fenvs.2015.00076},

issn = {2296-665X},

year  = {2015},

date = {2015-01-01},

journal = {Frontiers in Environmental Science},

volume = {3},

pages = {76},

keywords = {Agro-Geoinformatics, crop monitoring, data visualization, Geographic Information Systems (GIS), geospatial data, precision agriculture, remote sensing for agriculture, sustainable agriculture},

pubstate = {published},

tppubtype = {article}

}