dc.contributor.author	Bilyk, Zhanna I.
dc.contributor.author	Shapovalov, Yevhenii B.
dc.contributor.author	Shapovalov, Viktor B.
dc.contributor.author	Megalinska, Anna P.
dc.contributor.author	Andruszkiewicz, Fabian
dc.contributor.author	Dołhańczuk-Śródka, Agnieszka
dc.date.accessioned	2021-09-06T16:37:07Z
dc.date.available	2021-09-06T16:37:07Z
dc.date.issued	2020-11-08
dc.identifier.citation	Bilyk Z. I. Assessment of mobile phone applications feasibility on plant recognition: comparison with Google Lens AR-app / Zhanna I. Bilyk, Yevhenii B. Shapovalov, Viktor B. Shapovalov, Anna P. Megalinska, Fabian Andruszkiewicz, Agnieszka Dołhańczuk-Śródka. - CEUR Workshop Proceedings. - 2020. - Vol. 2731. - P. 61-78	uk
dc.identifier.issn	1613-0073
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4403
dc.identifier.uri	https://doi.org/10.31812/123456789/4403
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dc.description.abstract	The paper is devoted to systemizing all mobile applications used during the STEM-classes and can be used to identify plants. There are 10 mobile applications that are plant identifiers worldwide. These applications can be divided into three groups, such as plant identifiers that can analyze photos, plant classification provides the possibility to identify plants manually, plants-care apps that remind water of the plant, or change the soil. In this work, mobile apps such as Flora Incognita, PlantNet, PlantSnap, PictureThis, LeafSnap, Seek, PlantNet were analyzed for usability parameters and accuracy of identification. To provide usability analysis, a survey of experts of digital education on installation simplicity, level of friendliness of the interface, and correctness of picture processing. It is proved that Flora Incognita and PlantNet are the most usable and the most informative interface from plant identification apps. However, they were characterized by significantly lower accuracy compared to Google Lens results. Further comparison of the usability of applications that have been tested in the article with Google Lens, proves that Google Lens characterize by better usability and therefore, Google Lens is the most recommended app to use to provide plant identification during biology classes.	uk
dc.language.iso	en	uk
dc.publisher	CEUR Workshop Proceedings	uk
dc.subject	mobile application	uk
dc.subject	STEM-classes	uk
dc.subject	augmented reality	uk
dc.subject	plant identification	uk
dc.subject	Google Lens	uk
dc.title	Assessment of mobile phone applications feasibility on plant recognition: comparison with Google Lens AR-app	uk
dc.type	Article	uk