Skip to main content
ARS Home » Southeast Area » Stoneville, Mississippi » Cotton Ginning Research » Research » Publications at this Location » Publication #399159

Research Project: Development and Evaluation of Novel Technologies to Improve Fiber Quality and Increase Profitability in Cotton Processing

Location: Cotton Ginning Research

Title: Camera and UAV combinations optimization of cotton field contaminant imaging

item Blake, Cody
item Donohoe, Sean
item Alege, Femi
item Thomas, Joseph

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Proceedings
Publication Acceptance Date: 11/4/2022
Publication Date: 6/1/2023
Citation: Blake, C.D., Donohoe, S.P., Alege, F.P., Thomas, J.W. 2023. Camera and UAV combinations optimization of cotton field contaminant imaging. National Cotton Council Beltwide Cotton Conference, January 10-12, 2023, New Orleans, LA. P.288-292. 2023.

Interpretive Summary:

Technical Abstract: Contamination from plastics and other foreign materials in ginned cotton has been a prevalent issue in recent years. Contaminants detected in the sample by the classing office result in a bale being heavily discounted. Unmanned aerial vehicles (UAVs) with multispectral cameras and integrated RGB cameras have been studied for plastic detection with mixed results. The objective of this study was to determine the potential for in-field contamination detection using recreational type changeable lens RGB cameras. The study included two different recreational RGB cameras in video recording mode with different resolutions and interchangeable lenses. Each combination of lens and camera was flown at four separate heights to obtain the field of view and the resolution of a target object. Part of the study considered the economic feasibility of each combination used. The results of the study show a 4k camera with a 28mm lens to be a viable option at all flight heights tested, while also maintaining lower cost. This study provides insight for creating UAV and camera options for imaging cotton fields for early contaminant detection. Further research is needed on flight parameters and contaminant size.