Abstract:
A fruit has different colours and sizes that indicate the level of quality. People are often confused
when selecting a good quality. Some industries still use manual method to distinguish quality of
fruit. Human labour is often inaccurate and inconsistent in its determination. The difference is due
to the different perceptions of each person. In these problems the need of agriculture based
machine learning system is felt. Therefore, researchers have conducted research on fruit quality
based sortation system. Fruits are ofmany types such as mango, orange, apple, banana etc. In this
research, type offruit that is studied is “Apple” because it has a good colour distribution. The goal
ofourresearch is to create a system that can recognize apple with respect to its quality. The method
that is used to do this research is separated into few step: problem identification, algorithm
development, implementation and evaluation. The system is made using Python language,
Computer Vision and CNN (Convolutional Neural Network) so the system can detect the colour
of apple. The output ofthis research will be compared to related research. The final output ofthis
research is the system can detect the quality of apple with good accuracy
