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Article

Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture

1
Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain
2
IMAC, Mathematics Department, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain
3
Department of Probability and Statistics, Institute of Research in Applied Mathematics and Systems, Universidad Nacional Autónoma, 04510 Ciudad de México, Mexico
4
Nova Information Management School (NOVA IMS), Universidade Nova de Lisboa, 1070-312 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6597; https://doi.org/10.3390/s20226597
Received: 19 October 2020 / Revised: 10 November 2020 / Accepted: 10 November 2020 / Published: 18 November 2020
(This article belongs to the Special Issue Environmental Sensors and Their Applications)
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. View Full-Text
Keywords: low-cost sensors; homogenisation; cross-correlation; climatic conditions low-cost sensors; homogenisation; cross-correlation; climatic conditions
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MDPI and ACS Style

Trilles, S.; Juan, P.; Díaz-Avalos, C.; Ribeiro, S.; Painho, M. Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture. Sensors 2020, 20, 6597. https://doi.org/10.3390/s20226597

AMA Style

Trilles S, Juan P, Díaz-Avalos C, Ribeiro S, Painho M. Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture. Sensors. 2020; 20(22):6597. https://doi.org/10.3390/s20226597

Chicago/Turabian Style

Trilles, Sergio, Pablo Juan, Carlos Díaz-Avalos, Sara Ribeiro, and Marco Painho. 2020. "Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture" Sensors 20, no. 22: 6597. https://doi.org/10.3390/s20226597

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