Performance of hyperspectral imaging system for poultry surface fecal contaminant detection

Park, Bosoon; Lawrence, Kurt C.; Windham, William R.; Smith, D. P.

doi:10.1016/j.jfoodeng.2005.03.060

Cited by 117 publications

(52 citation statements)

References 11 publications

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“…addition, subtraction, multiplication and division. One example is the band ratio method, in which an image at one waveband is divided by that at another wavelength [26] and [27]. Histograms are another tool, useful for depicting pixel distribution of components.…”

Section: Image Processingmentioning

confidence: 99%

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Gowen

O’Donnell

Cullen³

et al. 2008

European Journal of Pharmaceutics and Biopharmaceutics

243

147

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Section: Image Processingmentioning

confidence: 99%

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Gowen

O’Donnell

Cullen³

et al. 2008

European Journal of Pharmaceutics and Biopharmaceutics

243

147

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“…At the same time, reflectance-based quality control systems are becoming increasingly more versatile, robust and more affordable. Pesticide and contaminant (i.e., fecal) residues and surface defects on vegetables and fruits [1][2][3][4] and meat [5] are of particular interest due to recent concerns about outbreaks of food borne illnesses [3]. Thus, among farmers, crop consultants, extension services, food processors, food distributors, and agricultural inspection entities there is a need for real-time tools to detect and quantify pesticides and other surface residues on food and feed materials.…”

Section: Introductionmentioning

confidence: 99%

Using Spatial Structure Analysis of Hyperspectral Imaging Data and Fourier Transformed Infrared Analysis to Determine Bioactivity of Surface Pesticide Treatment

et al. 2010

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Many food products are subjected to quality control analyses for detection of surface residue/contaminants, and there is a trend of requiring more and more documentation and reporting by farmers regarding their use of pesticides. Recent outbreaks of food borne illnesses have been a major contributor to this trend. With a growing need for food safety measures and -smart applications‖ of insecticides, it is important to develop methods for rapid and accurate assessments of surface residues on food and feed items. As a model system, we investigated detection of a miticide applied to maize leaves and its miticidal bioactivity over time, and we compared two types of reflectance data: fourier transformed infrared (FTIR) data and hyperspectral imaging (HI) data. The miticide (bifenazate) was applied at a commercial field rate to maize leaves in the field, with or without application of a surfactant, and with or without application of a simulated -rain event‖. In addition, we collected FTIR and HI from untreated control leaves (total of five treatments). Maize leaf data were collected at seven time intervals from 0 to 48 hours after application. FTIR data were analyzed using conventional analysis of variance of miticide-specific vibration peaks. Two unique FTIR vibration peaks were associated with miticide application (1,700 cm −1 and 763 cm −1 ). The integrated intensities of these two OPEN ACCESSRemote Sensing 2010, 2 909 peaks, miticide application, surfactant, rain event, time between miticide application, and rain event were used as explanatory variables in a linear multi-regression fit to spider mite mortality. The same linear multi-regression approach was applied to variogram parameters derived from HI data in five selected spectral bands (664, 683, 706, 740, and 747 nm). For each spectral band, we conducted a spatial structure analysis, and the three standard variogram parameters (-sill‖, -range‖, and -nugget‖) were examined as possible -indicators‖ of miticide bioactivity. We demonstrated that both FTIR peaks and standard variogram parameters could be used to accurately predict spider mite mortality, but linear multi-regression fits based on standard variogram parameters had the highest accuracy and were successfully validated with independent data. Based on experimental manipulation of HI data, the use of spatial structure analysis in classification of HI data was discussed.

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“…When uneven samples are illuminated, large differences in light intensity occur at different surface locations of the same sample, which influence the measurement accuracy by the system. A band ratio algorithm can reduce the variation in light intensity (Park et al, 2006).…”

Section: Challenges and Future Workmentioning

confidence: 99%

Optical Methods and Techniques for Meat Quality Inspection

Peng¹,

Dhakal²

2015

Trans.ASABE

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Performance of hyperspectral imaging system for poultry surface fecal contaminant detection

Cited by 117 publications

References 11 publications

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Using Spatial Structure Analysis of Hyperspectral Imaging Data and Fourier Transformed Infrared Analysis to Determine Bioactivity of Surface Pesticide Treatment

Optical Methods and Techniques for Meat Quality Inspection

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