Repository logo
Communities & Collections
All of MSAR
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Rafaat Mohamed Abdelrahman Kishk, Abdelrahman"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    A dissertation submitted in partial fulfillment of the requirements for the degree of Bachelor of computer science
    (MSA university Faculty of Computer Science, 2020) Rafaat Mohamed Abdelrahman Kishk, Abdelrahman
    Farmers have a problem in detecting plant diseases from the beginning but according to their work ,they could detect the disease after a certain time .This problem will lead to throwing the farms ‘products away and with that I decided to solve this problem using deep learning to help farmers to detect the diseases of plants in any level in order to recover its infection easily .The project will be implemented using deep learning and we will work on spyder 3.7 to train the plant using its leaves .The results that will be occurred in training and testing accuracies are more than 50%

October University for Modern Sciences and Arts Established by Dr. Nawal El Degwi in 1996 copyright © 2019-2024

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback