Machine Vision and Coffee Processing
Machine vision has experienced a great growth as a tool for obtaining outstanding agricultural products and coffee is not the exception. In Cenicafé several machine vision projects have been conducted in order to maintain the high ranking of the Colombian coffee in the international market, to improve consistency, and, to offer new qualities. Machine vision has been used to develop machines to harvest most of the mature fruits on the trees in a more efficient way.
Machine vision has been incorporated in machinery developed for small farms to classify the raw material at the first stage of processing. There are also projects underway to develop machines to classify this agricultural product in different intermediate stages. These projects had to overcome several challenges with target price being a maor constraint because coffee growers in Colombia have low buying capacity. The technologies have helped to improve the efficiency of the in-farm coffee processing and also allowed industrial processing companies to have coffee with better quality. This presentation will cover details of the above mentioned projects and their current state.
About the Presenter:
Juan Sanz-Uribe is visiting Argonne National Lab. He completed his PhD in Mechanical Engineering at the University of Wisconsin-Madison in 2003 where he collaborated with Nicola Ferrier (now MCS) and other faculty in Mechanical and Agricultural engineering. Juan will give two informal presentations. This one (describing past projects) and another outlining a current project for identifying pest damage. Columbian coffee will be served.