Identification of Crop Diseases Using Deep Learning Algorithm

Autor:	Florin Bogdan MARIN, Mihai Gabriel MATACHE, Mihaela MARIN, Carmela GURĂU, Gheorghe GURĂU
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	plant disease identification deep learning computational fluid dynamics Mining engineering. Metallurgy TN1-997
Zdroj:	The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, Vol 45, Iss 3, Pp 20-23 (2022)
Druh dokumentu:	article
ISSN:	2668-4748 2668-4756
DOI:	10.35219/mms.2022.3.04
Popis:	In this paper we present an algorithm based on deep learning. The program allows the user to select in a graphical interface the type of plant for which it is desired to insert images for disease identification. To train and test models, we used our own data set with a relatively small number of images, and all images were captured in culture, and not in laboratory conditions. The algorithm is based on deep learning approach.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0c986cafcddb429aa79e3e1148efe1c3 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF