2016
DOI: 10.1007/978-3-319-31165-4_39
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Greenhouse with Sustainable Energy for IoT

Abstract: In order to support the intensive development of agricultural crops and, in particular the floricultural inside a greenhouse, with the perspective of a quick distribution in the market, increasing the economic benefits and supported on efficient and intelligent management systems energy, it is mandatory to conceive a model based on Cyber-Physical Systems (CPS) This implies, accordingly, increases in renewable primary energy sources utilization coupled with sensing technologies, include developments on Internet… Show more

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Cited by 5 publications
(2 citation statements)
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“…Khriji et al presented a precise irrigation system that achieves precision irrigation through a comprehensive analysis of data from the external environment [14]. Oliveira et al presented a new energy and environmental model based on ACPS to provide intelligent integrated management of greenhouse flowers [15]. Selmani et al presented a new approach to the cyberization of solar photovoltaic water systems for remote irrigation management [16].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Khriji et al presented a precise irrigation system that achieves precision irrigation through a comprehensive analysis of data from the external environment [14]. Oliveira et al presented a new energy and environmental model based on ACPS to provide intelligent integrated management of greenhouse flowers [15]. Selmani et al presented a new approach to the cyberization of solar photovoltaic water systems for remote irrigation management [16].…”
Section: Related Workmentioning
confidence: 99%
“…(2) If the water supply method is subsurface drip irrigation, the water balance model will select the subsurface drip irriga-tion model for calculating the water supply, vertical distance, and horizontal distance of the wetting volume. These factors can be calculated using Equations (13)- (15).…”
Section: B: Establishment Of a Water Balance Modelmentioning
confidence: 99%