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ARS Home » Plains Area » Las Cruces, New Mexico » Cotton Ginning Research » Research » Publications at this Location » Publication #400957
Research Project: Improving the Production and Processing of Western and Long-Staple Cotton and Companion Crops to Enhance Quality, Value, and Sustainability

Location: Cotton Ginning Research

Title: How gins can maximize bale throughput given seasonality, cotton quality and producer decisions

Author
item GOTTULA, JOHN - Sas Institute, Inc
item HIDALGO, MIGUEL ANGEL - Sas Institute, Inc
item KING, JAY - Sas Institute, Inc
item HARRISON, ASHLEY - Cotton, Inc
item BOURLAND, FRED - University Of Arkansas
item Whitelock, Derek
item HARDIN, ROBERT - Texas A&M University
item Tumuluru, Jaya Shankar
item Holt, Gregory
item Thomas, Joseph
item Wanjura, John
item BLAKEMORE, DAVID - Blakemore Cotton & Grain Llc
item Delhom, Christopher
item WARD, JASON - North Carolina State University

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Other
Publication Acceptance Date: 1/11/2023
Publication Date: 1/11/2023
Citation: Gottula, J., Hidalgo, M., King, J., Harrison, A., Bourland, F., Whitelock, D.P., Hardin, R., Tumuluru, J., Holt, G.A., Thomas, J.W., Wanjura, J.D., Blakemore, D., Delhom, C.D., Ward, J. 2023. How gins can maximize bale throughput given seasonality, cotton quality and producer decisions. National Cotton Council Beltwide Cotton Conference, January 10-12, 2023, New Orleans, Louisiana. Presentation only.

Interpretive Summary:

Technical Abstract: Optimizing gin speed, calibrating sensors and creating fair variable ginning cost models requires a scalable model of gin performance. We amalgamated classing office, sensor, producer and variety information from 7 gins and 6 years including 500,000 bales. Gin speed models considered weather, variety characteristics and quality parameters. We derived a linear model that predicts time to bale across a wide range of gin conditions. We expect this model will be of interest to agricultural engineering firms seeking to optimize gin function, and ginning firms seeking to assign variable costs to bales.