Cotton Quality Mapping​

December 2020 | 18 min., 28 sec.
by Jason Ward
NC State University


​Modern cotton harvesting equipment has the capability to discreetly identify and track modules created during harvest operations. Unique module data are combined with other information, such as yield maps and fiber quality results, in identifying the subfield area from which each module was harvested and mapping fiber quality factors. This information can be used to identify practices, conditions, and varieties that result in increased fiber quality and bale value.​

About the Presenter

Jason WardJason Ward and the Advanced Ag Lab at North Carolina State University conduct interdisciplinary research and Extension programs focused on agricultural sensing technologies, digital farming methods, and data analytics. Their goal is to leverage agricultural data sources, management, and analysis to drive real-world, actionable insights across commodities and production systems. Jason holds a PhD and is a licensed professional engineer (PE). He has worked in precision ag for industry, government, and academia for more than 15 years. He is an assistant professor in the Biological and Agricultural Engineering Department at North Carolina State and was a recipient of the 2020 Educator/Researcher Precision Ag Award for Excellence.

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