期刊
COMPUTERS AND ELECTRONICS IN AGRICULTURE
卷 156, 期 -, 页码 187-192出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2018.10.032
关键词
Internet of things; Big data; Irrigation; Rational use of water
In this study a new android app for smartphones to estimate potential evapotranspuration (PET) in real time, using gridded data from NASA-POWER, to any location in the world, would result in a more efficient irrigation and increase irrigation water conservation. The smartphone app called EVAPO uses meteorological data to calculate PET using the Penman-Monteith (FA056) method. To evaluate performance of the proposed method, we compared PET estimated by the EVAPO with that estimated from climatic data from conventional surface meteorological stations. The accuracy, tendency and precision of the models were determined using the Willmott et al. (1985) concordance index (d), systematic root mean square error (RMSEs) and determination index (R-2), respectively. The results obtained were satisfactory for all studied locations whit mean values of 0.67, 0.95 (mm) and 0.72 ford, RMSEs and R-2, respectively. The app can be accessed in the Play Store (free): https://play.google. com/store/apps/details?id = br.com.maldonado.instantet0.
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