Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits
Last updated: 05 Jan 2025
10.21608/jsaes.2023.198337.1027
Image processing, Orange fruits, RGB Index, ENVI software, biochemical properties
Mahmoud
Elhosary
S
Agricultural Engineering Department, Faculty of Agricultural, Tanta university
mahmoud.shawky.7103@agr.tanta.edu.eg
Tanta
Adel
Elmetwalli
Agricultural Engineering Department, Faculty of Agricultural, Tanta university
adelra99@yahoo.com
Tanta
Asaad
Derbala
Tanta University, Faculty of Agriculture, Agricultural Engineering Department, Egypt
asaadderbala@yahoo.com
Salah
Elsayed
University of Sadat City, Environmental Studies and Research Institute, Agricultural Engineering, Evaluation of Natural Resources Department, Menoufia 32897, Egypt
2
2
41740
2023-04-01
2023-03-06
2023-04-01
100
109
2735-4377
2785-9878
https://jsaes.journals.ekb.eg/article_302768.html
https://jsaes.journals.ekb.eg/service?article_code=302768
302,768
Original research paper
1,858
Journal
Journal of Sustainable Agricultural and Environmental Sciences
https://jsaes.journals.ekb.eg/
Image Analysis Technique for Evaluating the Quality of Navel Orange Fruits
Details
Type
Article
Created At
28 Dec 2024