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ARS Home » Plains Area » Las Cruces, New Mexico » Cotton Ginning Research » Research » Publications at this Location » Publication #135116
Title: AUTOMATION IN COTTON GINNING

Author
item SIDDAIAH, MURALI - NMSU, LAS CRUCES, NM
item Lieberman, Michael
item Hughs, Sidney
item PRASAD, NADIPURAM - NMSU, LAS CRUCES, NM

Submitted to: International Journal of Intelligent Systems
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/12/2001
Publication Date: 2/28/2004
Citation: SIDDAIAH, M., LIEBERMAN, M.A., HUGHS, S.E., PRASAD, N.R. AUTOMATION IN COTTON GINNING. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS. 2004. V. 19(1/2). P. 111-129. p. 401-405.

Interpretive Summary: THE PAPER PRESENTS A GENERAL FRAMEWORK FOR IMPLEMENTING A MACHINE-VISION BASED IMAGING SYSTEM TO AUTOMATE THE GINNING PROCESS TO PRODUCE QUALITY COTTON. SOFT COMPUTING TECHNIQUES DISCUSSED INDICATE THAT TRASH OBJECTS COMMONLY FOUND IN COTTON CAN BE CATEGORIZED AS BARK, STICK, LEAF AND PEPPER TRASH WITH GREAT ACCURACIES. THE ON-LINE IDENTIFICATION OF TRASH OBJECTS TO INDIVIDUAL CATEGORIES COULD BE USED TO CONFIGURE AN OPTIMAL SET OF COTTON CLEANING AND EXTRATION EQUIPMENT. THE IMPLEMENTION IN A MODERN GIN COULD RESULT IN THE PRODUCTION OF HIGHER QUALITY LINT AND SUBSEQUENT QUALITY FINISHED CONSUMER PRODUCTS. THE SYSTEM COULD BE EXPECTED TO PROVIDE SIGNIFICANT ENERGY SVINGS TO GINNERS, DUE TO THE JUDICIOUS SELECTION OF EQUIPMENT BASED ON THE CHARACTERISTICS OF THE COTTON BEING PROCESSED. THE IMPACT OF SUCH AN AUTOMATED SYSTEM IS WIDE RANGING AND COULD HAVE SIGNIFICANT BENEFITS TO THE ENTIRE COTTON INDUSTRY.

Technical Abstract: THIS PAPER DISCUSSES A FRAMEWORK FOR IMPLEMENTATION OF A MCHINE-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 ON REAL-TIME ALLOWS FOR AN AUTOMATED MEANS TO ASSIGN TRASH GRADES TO COTTON, AND COULD HAVE A SIGNIFICANT IMPACT ON THE ENTIRE COTTON INDUSTRY.