Environmental air quality monitoring system as a support for precision agriculture

Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23344

DC Field	Value	Language
dc.contributor.author	Davchev, Dancho	en_US
dc.contributor.author	Mitreski, Kosta	en_US
dc.date.accessioned	2022-10-07T10:14:47Z	-
dc.date.available	2022-10-07T10:14:47Z	-
dc.date.issued	2019	-
dc.identifier.uri	http://hdl.handle.net/20.500.12188/23344	-
dc.description.abstract	In order to make better decisions in the precision agriculture the measurement of air pollution parameters such as PM10, NOx, SO2, CO, O3 and agriculture parameters such as air temperature, humidity, soil moisture and leaf wetness are of crucial importance. Making analysis using different AI technics based on these parameters can bring better yield and quality in the food production process. In this paper, we present our approach in building an environmental air quality monitoring system as a support for precision agriculture by using Arduino [5] open-source electronics platform.	en_US
dc.publisher	Scientific Technical Union of Mechanical Engineering" Industry 4.0"	en_US
dc.relation.ispartof	Science. Business. Society.	en_US
dc.subject	AIR POLLUTION, ARDUINO OPEN-SOURCE ELECTRONICS PLATFORM, WSN, IoT	en_US
dc.title	Environmental air quality monitoring system as a support for precision agriculture	en_US
dc.type	Journal Article	en_US
item.fulltext	With Fulltext	-
item.grantfulltext	open	-
crisitem.author.dept	Faculty of Computer Science and Engineering	-
crisitem.author.dept	Faculty of Computer Science and Engineering	-
Appears in Collections:	Faculty of Computer Science and Engineering: Journal Articles

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