Call For Paper Volume:7 Issue:8 Aug'2020 |

Estimation of Shelf Life Of Mango and Automatic Separation

Publication Date : 04/05/2016

Author(s) :

Dhananjay Pawar , Dr. Vishal Wankhede .

Conference Name :
International Conference on Recent Trends in Engineering and Technology

Abstract :

The Project Features a Computer vision based system for automatic segregation and grading of mango (magnifera indica L.) based on mainly three factors which are weight, color and color maturity. the main purpose behind implementing this computer vision based system is to replace human efforts by automation. The manual inspection creates problem in maintaining consistency and uniformity in grading and sorting. hence to increase the speed of the process as well as to maintain the consistency, uniformity, accuracy and efficiency, a prototype computer vision based automatic mango grading and sorting system is developed. this automated system captures the images from CCD camera placed on the top of conveyor belt carrying mangoes, then it processes the images in order to collect several relevant features which are sensitive to weight color and color maturity of the mango. Finally parameters of the individual classes are estimated using MATLAB software. For fulfillment of export requirements s essential to determine fruit features such Color and brightness, level of maturity and weight. A methodology to estimate these characteristics from a set of images of Mango samples is presented in this project. The methods used to determine level of Brightness and level of maturity resulted an overall accuracy of 90% and for weight estimation method, error margin did not exceed 7 grams

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