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United States Department of Agriculture

Agricultural Research Service

Title: High Speed Trash Measurements

Authors
item Siddaiah, Murali - NMSU, LAS CRUCES, NM
item Lieberman, Michael
item HUGHS, SIDNEY

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Proceedings
Publication Acceptance Date: January 8, 2002
Publication Date: June 27, 2002
Citation: SIDDAIAH, M., LIEBERMAN, M.A., HUGHS, S.E. HIGH SPEED TRASH MEASUREMENTS. NATIONAL COTTON COUNCIL BELTWIDE COTTON CONFERENCE. 2002. 10 p.

Interpretive Summary: MECHANICAL HARVESTING OF COTTON INTRODUCES TRASH INTO SEED COTTON ALONG WITH THE LINT. BEFORE THE USEABLE COTTON FIBER CAN BE SEPARATED FROM THE COTTON SEEDS, THE TRASH OBJECTS NEED TO BE EXTRACTED FROM THE SEED COTTON. THE IDENTIFICATION OF THIS TRASH BY VISUAL MEANS (CAMERA) CAN HELP THE GINNER DETERMINE THE AMOUNT OF CLEANING THAT NEEDS TO BE PERFORMED ON HARVESTED COTTON. IN ORDER TO IMPLEMENT SUCH A SYSTEM IT IS CRITICAL THAT THE IDENTIFICATION IS ONLINE (REAL-TIME). HIGH-SPEED TRASH MEASUREMENTS PERMIT ONLINE INPLEMENTATION FOR THE IDENTIFICATION OF TRASH OBJECTS WITH GREAT ACCURACIES. THE SYSTEM DEVELOPED CAN BE USED IN MODERN GINS TO PRODUCE QUALITY COTTON.

Technical Abstract: THIS PAPER DISCUSSES A FRAMEWORK FOR IMPLEMENTATION OF A MACHINE-VISION SYSTEM FOR ON-LINE IDENTIFICATION OF TRASH OBJECTS COMMONLY FOUND IN COTTON. SOFT COMPUTING TECHNIQUES SUCH AS NEURAL NETWORKS AND FUZZY INFERENCE SYSTEMS CAN CLASSIFY TRASH OBJECTS INTO INDIVIDUAL CATEGORIES SUCH AS BARK, STICK, LEAF, AND PEPPER TRASH TYPES WITH GREAT ACCURACIES. THIS IDENTIFICATION OF TRASH OBJECTS TO INDIVIDUAL CATEGORIES CAN BE USED FOR THE DYNAMIC ALLOCATION OF TRASH EXTRACTION EQUIPMENT DURING THE GINNING PROCESS. SUCH A SYSTEM CAN BE IMPLEMENTED IN A MODERN GIN, TO CONFIGURE AN OPTIMAL SET OF EQUIPMENT DURING GINNING TO PRODUCE QUALITY COTTON. CLASSIFICATION OF COTTON IN REAL-TIME ALLOWS FOR AN AUTOMATED MEANS TO ASSIGN TRASH GRADES TO COTTON, AND COULD HAVE A SIGNIFICAANT IMPACT ON THE ENTIRE COTTON INDUSTRY.

Last Modified: 9/10/2014
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