Open AccessA Research on Fruit Maturity Detection Techniques
Author(s) -
M.B. Kiran,
G. Niranjana,
Madeeha Kiran,
G. Niranjana
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1300.0486s419
Subject(s) - maturity (psychological) , damages , image processing , process (computing) , food processing , computer science , artificial intelligence , biology , image (mathematics) , food science , psychology , developmental psychology , political science , law , operating system
Fruits are the major source of food to humans. Damage in fruits can be of different types. Damage due to insects or damage during transportation are the most common types of damages caused. Fruits are also unfit for human consumption when they mature beyond permissible limit which can be termed as rotten. Fruit maturity detection is divided into different stages depending on type of fruit detection used. Various sensors and image processing methods are used for this purpose. The major stages involved in this process are pre-processing, detection using sensors and image processing. Spectroscopy has been a huge development in image processing. In later stages the results are classified or clustered according to the requirement. This paper presents a survey of the existing fruit maturity detection techniques.