A grape leaves disease recognition using Amazon Sage Maker

Tockova, Angela and Zlatev, Zoran and Koceski, Saso (2022) A grape leaves disease recognition using Amazon Sage Maker. Balkan Journal of Applied Mathematics and Informatics, 5 (2). pp. 45-55. ISSN 2545-4803

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Abstract

Agriculture has faced multiple challenges throughout 20th and 21st century. Population growth means more mouths to feed, but, unfortunately, smaller rural labor force, which stimulated people to develop more efficient and sustainable production methods in order to adapt plants to different climate changes and make them more resistible to diseases. Accurate and rapid diagnosis of plant diseases has shown to play an important role in improving the quality and quantity of agriculture crops. In this article we are proposing an automated disease detection and classification service for grape leaves using traditional image processing and AI techniques using Amazon Sage Maker service. We are focusing our work on detecting three different diseases of grape leaves: black rot, black measles, and leaf blight disease. The results of our study are presented and discussed in the following.

Item Type:	Article
Subjects:	Natural sciences > Computer and information sciences
Divisions:	Faculty of Computer Science
Depositing User:	Mirjana Kocaleva Vitanova
Date Deposited:	04 Feb 2023 21:38
Last Modified:	04 Feb 2023 21:38
URI:	https://eprints.ugd.edu.mk/id/eprint/31320

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