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.
Salley, K (2021). AN ALTERNATIVE TO THE MANUAL COWPEA SORTING PROCESS. Afribary. Retrieved from https://tracking.afribary.com/works/an-alternative-to-the-manual-cowpea-sorting-process
Salley, Kawusara "AN ALTERNATIVE TO THE MANUAL COWPEA SORTING PROCESS" Afribary. Afribary, 23 Mar. 2021, https://tracking.afribary.com/works/an-alternative-to-the-manual-cowpea-sorting-process. Accessed 25 Nov. 2024.
Salley, Kawusara . "AN ALTERNATIVE TO THE MANUAL COWPEA SORTING PROCESS". Afribary, Afribary, 23 Mar. 2021. Web. 25 Nov. 2024. < https://tracking.afribary.com/works/an-alternative-to-the-manual-cowpea-sorting-process >.
Salley, Kawusara . "AN ALTERNATIVE TO THE MANUAL COWPEA SORTING PROCESS" Afribary (2021). Accessed November 25, 2024. https://tracking.afribary.com/works/an-alternative-to-the-manual-cowpea-sorting-process