Title

Technical Papers Session III: Automated sorting and grading of agricultural products based on image processing

Abstract/Description

Demand of good quality fruits is increasing with the rise in population. GDP of the many countries rely upon its export. Major part of GDP of Pakistan depends on its fruit export business. The present quality detection, sortation & dispensing systems have the downside of low yield, time consumption, high cost and complication. The study purpose of machine-controlled fruit sorting using image processing is to create higher quality fruit sorting, quality maintenance, production and to cut back labor concentration. It is a necessity for machine-controlled system that quick and quality feature detection as well as quick dispensing of fruits is carried out. A comprehensive review of current work related to automated sorting and grading of agricultural products is presented in this paper. We also propose a complete end to end system of automated and efficient fruit sorting and grading based on image processing. Effectiveness of the proposed structure is demonstrated by the initial experimental results.

Location

Room C9 (Aman Tower, 3rd floor)

Session Theme

Technical Papers Session III - Computer Vision

Session Type

Parallel Technical Session

Session Chair

Dr. Asim Ur Rehman Khan

Start Date

16-11-2019 3:30 PM

End Date

16-11-2019 3:50 PM

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Nov 16th, 3:30 PM Nov 16th, 3:50 PM

Technical Papers Session III: Automated sorting and grading of agricultural products based on image processing

Room C9 (Aman Tower, 3rd floor)

Demand of good quality fruits is increasing with the rise in population. GDP of the many countries rely upon its export. Major part of GDP of Pakistan depends on its fruit export business. The present quality detection, sortation & dispensing systems have the downside of low yield, time consumption, high cost and complication. The study purpose of machine-controlled fruit sorting using image processing is to create higher quality fruit sorting, quality maintenance, production and to cut back labor concentration. It is a necessity for machine-controlled system that quick and quality feature detection as well as quick dispensing of fruits is carried out. A comprehensive review of current work related to automated sorting and grading of agricultural products is presented in this paper. We also propose a complete end to end system of automated and efficient fruit sorting and grading based on image processing. Effectiveness of the proposed structure is demonstrated by the initial experimental results.