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
Recommended Citation
Abbas, H. T., Shakoor, U., Khan, M. J., Ahmed, M., & Khurshid, K. (2019). Technical Papers Session III: Automated sorting and grading of agricultural products based on image processing. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2019/2019/18
COinS
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.
