Type of Tomato Classification Using Deep Learning

International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25 (2020)
  Copy   BIBTEX


Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task.



External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
What is the Content of a Hallucinatory Experience?Michael Tye - forthcoming - In Berit Brogaard (ed.), Does Perception have Content? Oxford University Press.
Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.


Added to PP

2,037 (#2,675)

6 months
318 (#1,744)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Samy S. Abu-Naser
North Dakota State University (PhD)

Citations of this work

ANN for Tic-Tac-Toe Learning.Dalffa Abu-Mohaned - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-17.

Add more citations

References found in this work

No references found.

Add more references