IoT-based System to Forecast Crop Frost

Área de investigación: Telematics Año: 2017
Tipo de publicación: Artículo en conferencia Palabras clave: security, network, predition, algorith, crop, frost
Autores: Guillén-Navarro, M. Ángel; Pereñíguez-García, Fernando; Martínez-España, Raquel
Título del libro: Proceedings of 13th International Conference on Intelligent Environments (IE 2017)
Mes: August 2017
ISBN: 978-1-61499-795-5
BibTex:
Abstract:
Internet of Things (IoT) is considered a disruptive technology that is expected to change our everyday-life and contribute to the economic development. In particular, agriculture is a domain that can greatly benefit from the application of emerging technologies in the IoT field in order to reduce production costs and increase product quality. This work proposes a system based on Internet of Things (IoT) technology intended to fight against a critical weather inclemency: the crop frost. The proposed system consists of an IoT-based network architecture in charge of the acquisition of weather attributes directly taken from the crop field. Additionally, our solution integrates a data processing system that forecasts crop frost considering not only the real weather attributes recovered from the network but also weather forecasts obtained from specialized services. The implemented prototype has been evaluated in a real farmland located in Murcia (Spain). The results demonstrate the viability of our system to accurately forecast the occurrence of frosts in a certain area and opens new research challenges that need to be addressed before obtaining a fully operational forecasting system.
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