A GRAPE LEAVES DISEASE RECOGNITION USING AMAZON SAGE MAKER

  • Angela Tockova
  • Zoran Zlatev
  • Saso Koceski
Keywords: Agriculture, Investigation

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 on 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 on grape leaves: black rot, black measles and leaf blight disease. The results of our study are presented and discussed in the following

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Published
2022-12-27
How to Cite
Tockova, A., Zlatev, Z., & Koceski, S. (2022). A GRAPE LEAVES DISEASE RECOGNITION USING AMAZON SAGE MAKER. Balkan Journal of Applied Mathematics and Informatics, 5(2), 45-55. Retrieved from https://js.ugd.edu.mk/index.php/bjami/article/view/5253
Section
Articles