Cowpea sorter: An alternative to the manual cowpea sorting process

Date
2019
Authors
Salley, Kawusara Nurudeen
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Abstract
Cowpea traders find the manual sorting process of cowpeas laborious and time-consuming. Based on the volume of cowpeas and the proportion of damaged cowpeas, the process can span a time interval of about 6 hours. This project integrates the power of computer vision and convolutional neural networks to develop a solution for the cowpea trader to effectively segregate good cowpeas from the damaged ones.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, April 2019
Keywords
agricultural products, cowpea retailer, Vigna unguiculata, quality evaluation, computer vision, Convolutional Neural Network (CNN)
Citation