Dates Maturity Status and Classification using Image Processing

Fields such as food industry. The main objective of this work is to develop an automated system that helps dates fruit agricultural industry to provide a better quality that satisfies consumers and on the other hand, to reduce the potential economic loses. Also, improvements in dates fruit agricultural industry help in providing an appropriate food quantity for people. The proposed system is developed to identify different dates fruit maturity status and classify their categories. The system used the different dates fruit features such as color, size and skin texture. The developed system counts the number of harvested fruits and labels them. Also, dates category is classified by the system by extracting the object's color or comparing the objects sizes. Finally, defects can be identified by detecting the cold areas in thermal images. The results showed that the developed system is helpful and could improve the dates fruit agricultural industry quality.