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IDL - International Digital Library Of Technology & Research Volume 1, Issue 4,April 2017

Available at: www.dbpublications.org

Internati onal e-J ournal For Technol ogy And Research-2017

Ripeness Evaluation of Mango using Image Processing Sharadha shree 1 , Dr. Chandrappa D.N 2 1 2

Student ,M.Tech, DEC, GMIT Davangere.

Professor and HOD, Dept. Electronics Engineering, GM IT DA VANGERE.

1. INTRODUCTION

ABSTRACT Abstract— Mangoes are delicious seasonal fruits

Agriculture is one of the largest economic sector and it

grown in the tropics. They are harvested from i ts

plays a major role in the development of our country. Th e

grove when matured enough for the market. They do

ever-increasing population demands for higher quality of

not mature uniforml y in trees but stage by stage.

mangoes with good appearance. There is a need for the

Most farmers use manual experts for ri pening

development of accurate, fast and focused quality

evaluati on of the mang oes which is ti me consuming,

determination of mangoes.

inconsistent and inaccurate . To avoi d manual effort,

Harvesting of mangoes is performed in several steps like

an

is

cutting of fruits from the farm, washing, sorting, grading,

introduced in this paper. This includes preprocessing,

packing, transporting and finally storing. Out of these

Segmentation, Feature extraction and classification.

sorting and grading are major processing tasks associated

Here 24 color features are extracted from the mang o

for preserving the quality of mangoes.

image. Classifying the mango into two di fferent

Sorting of mangoes is done based on appearance of fru its,

classes according to their maturity level using k-NN

whereas grading is done based on the overall quality

Classifier and this proposed system resulted i n the

features of fruits by considering a number of attributes

accuracy of about 97% in evaluati on of ri peness of

like shape, size, color and texture etc.

Mangoes.

Classification is necessary for the quality evaluation of

automated

Computer

vision

techni que

mangoes. Fruit industry for its excellent trading purpose goes for highly selective ones in quality and standard. It

General Terms Quality Inspection, Feature Extraction, Color Feature.

demands the suppliers and the distributors the fruits of high standards of quality, package and presentation. So there is a increasing need to supply quality fruits within a

Keywords

short period of time has development of Co mputer Vis ion Feature

Extraction

Keywords—Segmentati on,

Feature Extraction, k-NN classifier.

Techniques to improve the quality. In present scenario, sorting and grading of fruit according to maturity level are performed manually before transportation. This manual sorting by visual inspection is labour intensive, time consuming and

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