Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Glória, A., Dionisio, C., Simões, G., Cardoso, J. & Sebastião, P. (2020). Water management for sustainable irrigation systems using Internet-of-Things. Sensors. 20 (5)
Exportar Referência (IEEE)
A. F. Glória et al.,  "Water management for sustainable irrigation systems using Internet-of-Things", in Sensors, vol. 20, no. 5, 2020
Exportar BibTeX
@article{glória2020_1714663818215,
	author = "Glória, A. and Dionisio, C. and Simões, G. and Cardoso, J. and Sebastião, P.",
	title = "Water management for sustainable irrigation systems using Internet-of-Things",
	journal = "Sensors",
	year = "2020",
	volume = "20",
	number = "5",
	doi = "10.3390/s20051402",
	url = "https://www.mdpi.com/1424-8220/20/5/1402"
}
Exportar RIS
TY  - JOUR
TI  - Water management for sustainable irrigation systems using Internet-of-Things
T2  - Sensors
VL  - 20
IS  - 5
AU  - Glória, A.
AU  - Dionisio, C.
AU  - Simões, G.
AU  - Cardoso, J.
AU  - Sebastião, P.
PY  - 2020
SN  - 1424-8220
DO  - 10.3390/s20051402
UR  - https://www.mdpi.com/1424-8220/20/5/1402
AB  - This paper introduces a new way of managing water in irrigation systems, which can be applied to gardens or agricultural fields, replacing human intervention with Wireless Sensor Networks. A typical irrigation system wastes on average 30% of the water used, due to poor management and configuration. This sustainable irrigation system allows a better efficiency in the process of irrigation that can lead to savings for the end user, not only monetary but also in natural resources, such as water and energy, leading to a more sustainable environment. The system can retrieve real time data and use them to determinate the correct amount of water to be used in a garden. With this solution, it is possible to save up to 34% of water when using sensor data from temperature, humidity and soil moisture, or up to 26% when using only temperature inputs. Besides a detailed system architecture, this paper includes a real case scenario implementation and results discussion. 
ER  -