Image Processing Technique for Fruit Grading
M. Pushpavalli, ECE, Bannari Amman Institute of Technology, India.
Manuscript received on August 05, 2019. | Revised Manuscript received on August 28, 2019. | Manuscript published on August 30, 2019. | PP: 3894-3897 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8725088619/19©BEIESP | DOI: 10.35940/ijeat.F8725.088619
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© 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: Agriculture plays a major part in the economic growth of India . As there is high demand for quality fruits in the market fruit grading process is considered as very important. Fruit grading by a human may cause inefficient and it may also leads to some error. Another problem is labour intensive and to solve the above problems agricultural industries introduce many automated grading systems. In this paper a concept was introduced to get quality fruits by observing its color, measuring its size and weight. Due to cost and inaccurate process, sorting tons of quality fruits to produce food products made from fruits is an another problem that is faced by most of the agricultural industries. Here a sorting process is introduced where the image of the fruit is captured and analyzed using image processing techniques and the defected fruit is discarding by this process. The main aim of this paper is to do the quality check of the fruits within a short span of time.
Keywords: Image processing, Segmentation, Classification, mangoes, Ripeness, Defect, Agriculture.