Identification of Crop Diseases Using Deep Learning Algorithm

Auteur/ices

  • Florin Bogdan MARIN “Dunarea de Jos” University of Galati, Romania
  • Mihai Gabriel MATACHE “Dunarea de Jos” University of Galati, Romania
  • Mihaela MARIN “Dunarea de Jos” University of Galati, Romania
  • Carmela GURĂU “Dunarea de Jos” University of Galati, Romania
  • Gheorghe GURĂU “Dunarea de Jos” University of Galati, Romania

DOI :

https://doi.org/10.35219/mms.2022.3.04

Mots-clés :

plant disease identification, deep learning, computational fluid dynamics

Résumé

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.

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Publiée

2022-09-15

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Comment citer

1.
Identification of Crop Diseases Using Deep Learning Algorithm. Ann_UGAL_MMS [Internet]. 15 sept. 2022 [cité 2 nov. 2026];45(3):20-3. Disponible sur: https://ojs.ugal.ro/index.php/mms/article/view/5499

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