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Software application for calculating solar radiation and equivalent evaporation in mobile devices

Author

Listed:
  • Delgado, Bueno
  • Paredes, Madrid
  • Martínez, Molina

Abstract

In the agriculture sector, some tasks such as to estimate the water needs of the crops, to validate the data supplied by agricultural weather stations, or to decide the best place for solar water heating systems, photovoltaic panels, etc., involve the use of real data about the extraterrestrial solar radiation or the equivalent radiation and evaporation of the place of interest. These parameters are calculated making use of the geographic position of the place under study. Last generation of mobile phones, the so-called smartphones, and other mobile devices, such us tablets, are endowed with the Global Positioning System tool, which permits the geographic position with just a click. A software application that makes use of this tool could be used to calculate those parameters in-situ, improving the way in which the farmers and agricultural technicians work today. This paper presents a powerful software application for mobile devices that calculates, stores, and sends to others, those parameters related with the position and relative distance sun-earth: the extraterrestrial solar radiation, incident radiation on earth, number of hours of sun, equivalent evaporation, etc. This new tool is an improved version of RaGPS, a software application developed in a previous work for mobile devices with Windows Operating System. The application presented in this paper is executed in Android Operating System, compatible with Android 2.3 and latest versions. It has remarkable details like elements in the screen designed to be compatible with tablets and other mobile devices; new methods for detecting and adding coordinates, through Google Maps tool; the height of a coordinate obtained by a web service; graphics included for increasing application usability, options to send the information of interest, not only using text messages, but also via Bluetooth, e-mail, social networks, etc.

Suggested Citation

  • Delgado, Bueno & Paredes, Madrid & Martínez, Molina, 2015. "Software application for calculating solar radiation and equivalent evaporation in mobile devices," Agricultural Water Management, Elsevier, vol. 151(C), pages 30-36.
    • Handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:30-36
    DOI: 10.1016/j.agwat.2014.09.012
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    References listed on IDEAS

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    1. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.
    2. Quinn, Nigel W.T., 2011. "Adaptive implementation of information technology for real-time, basin-scale salinity management in the San Joaquin Basin, USA and Hunter River Basin, Australia," Agricultural Water Management, Elsevier, vol. 98(6), pages 930-940, April.
    3. Folhes, M.T. & Rennó, C.D. & Soares, J.V., 2009. "Remote sensing for irrigation water management in the semi-arid Northeast of Brazil," Agricultural Water Management, Elsevier, vol. 96(10), pages 1398-1408, October.
    4. Mateos, L. & González-Dugo, M.P. & Testi, L. & Villalobos, F.J., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agricultural Water Management, Elsevier, vol. 125(C), pages 81-91.
    5. Nolz, R. & Kammerer, G. & Cepuder, P., 2013. "Calibrating soil water potential sensors integrated into a wireless monitoring network," Agricultural Water Management, Elsevier, vol. 116(C), pages 12-20.
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