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) 
Kobelyuk, O., Postolache, O. & Mataloto, B. (2024). Smart sensing and IoT for precision agriculture: Soil characteristics monitoring. In 2024 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI). Lagoa, Portugal: IEEE.
Exportar Referência (IEEE) 
O. Kobelyuk et al.,  "Smart sensing and IoT for precision agriculture: Soil characteristics monitoring", in 2024 Int. Symp. on Sensing and Instrumentation in 5G and IoT Era (ISSI), Lagoa, Portugal, IEEE, 2024
Exportar BibTeX 
@inproceedings{kobelyuk2024_1782658151427,
	author = "Kobelyuk, O. and Postolache, O. and Mataloto, B.",
	title = "Smart sensing and IoT for precision agriculture: Soil characteristics monitoring",
	booktitle = "2024 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI)",
	year = "2024",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ISSI63632.2024.10720482",
	publisher = "IEEE",
	address = "Lagoa, Portugal",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/10720482/authors#authors"
}
Exportar RIS 
TY  - CPAPER
TI  - Smart sensing and IoT for precision agriculture: Soil characteristics monitoring
T2  - 2024 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI)
AU  - Kobelyuk, O.
AU  - Postolache, O.
AU  - Mataloto, B.
PY  - 2024
DO  - 10.1109/ISSI63632.2024.10720482
CY  - Lagoa, Portugal
UR  - https://ieeexplore.ieee.org/document/10720482/authors#authors
AB  - This paper proposes and implements an energy-efficient battery-powered IoT system to monitor soil for macronutrients. Each measurement node is comprised of a development board, a sensor to measure the N, P and K concentrations in soil, a GPS module to acquire the geolocation and a power relay to cut power in order to conserve battery. The acquired data is displayed on a Node-RED dashboard with geographic and concentration data tracking capabilities for each node, with the possibility to consult historic data. The system was validated locally by monitoring soil conditions for plants.
ER  -