A Research on Fruit Maturity Detection Techniques
M. Surya Kiran1, G. Niranjana2
1M. Surya Kiran, SRM Institute of Science and Technology. Chennai (TamilNadu), India.
2Dr. G. Niranjana, SRM Institute of Science and Technology. Chennai (TamilNadu), India.
Manuscript received on 15 April 2019 | Revised Manuscript received on 22 April 2019 | Manuscript Published on 26 July 2019 | PP: 1470-1473 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F13000486S419/19©BEIESP | DOI: 10.35940/ijitee.F1300.0486S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Image Processing, Sensors, RGB.
Scope of the Article: Classification