AN ALTERNATIVE TO THE MANUAL COWPEA SORTING PROCESS


  • Department: Electrical Engineering
  • Project ID: ELE0325
  • Access Fee: ₦5,000
  • Pages: 61 Pages
  • Reference: YES
  • Format: Microsoft Word
  • Views: 395
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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. 

  • Department: Electrical Engineering
  • Project ID: ELE0325
  • Access Fee: ₦5,000
  • Pages: 61 Pages
  • Reference: YES
  • Format: Microsoft Word
  • Views: 395
Get this Project Materials
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