Detecting Pesticide Residue on Navel Orange Surface by Using Hyperspectral Imaging

Long, 薛龙 Xue; Jing, 黎静 Li; Muhua, 刘木华 Liu

doi:10.3788/aos20082812.2277

Cited by 11 publications

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“…Traditional machine vision techniques have been successfully applied as an efficient way to monitor external qualities such as size, shape and color. However, much attention is now focused on nondestructive estimation of internal quality and external defects and contamination as well [1][2][3]. Currently, fruit soluble solids content is usually measured using a refratometer by the fruit juice and this method must destroy the fruit.…”

Section: Introductionmentioning

confidence: 99%

Study of Fluorescence Spectrum for Measurement of Soluble Solids Content in Navel Orange

Xue

Liu

et al. 2011

AMR

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On-line nondestructive estimation of fruit internal quality greatly benefits the consumer and the fruit industry as a whole because it can ensure the safety and processed product consistency. This research was aimed to build prediction model of soluble solids content (SSC) in navel oranges using ultraviolet lamp induced fluorescence technique. Total 254 navel oranges were separated into the calibration set (170 samples) and prediction set (84 samples). The actual SSC of navel oranges were measured using a digital refratometer. A characteristic wavelength range (385-414nm) was found to build a partial least squares (PLS) model for predicting the SSC in navel oranges. The correlation coefficient (r) between the predicted and actual SSC was 0.9161 and 0.8295 for calibration and prediction set, respectively. The root mean square error of calibration (RMSEC) and prediction (RMSEP) set was 1.0797 and 1.4283, respectively. The results showed that fluorescence spectrum can nondestructively determine SSC in fruit.

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Section: Introductionmentioning

confidence: 99%

Study of Fluorescence Spectrum for Measurement of Soluble Solids Content in Navel Orange

Xue

Liu

et al. 2011

AMR

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“…The reason is that technique combines conventional spectroscopy and imaging techniques to acquire both spectral and spatial information from an object. The technique has been applied for analyzing physical and/or chemical properties of a broad range of food and agricultural products, such as detecting contaminants on cantaloupes/apples [1,2] and pesticide on navel orange [3], bruises on apples [4] and cucumbers [5], detecting citrus canker [6,7], Egg embryo development detection [8]. The objective of this research was to establish a hyperspectral imaging system to measure the reflection in the spectral range between 500nm and 700nm.…”

Section: Introductionmentioning

confidence: 99%

Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image

Xue

Liu

et al. 2011

AMR

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A hyperspectral imaging system for detecting defect on navel orange was demonstrated. The hyperspectral imaging system, which was a line-scan imaging system, consisted of a hyperspectral camera, a halogen lighting unit, a computer and a translation stage. The imaging system operated from 400 to 1000nm. Principal component analysis (PCA) was performed using the hyperspectral images data (from 500 to 700nm); 2nd principal component (PC) image exhibited differential responses between normal and defect spots on the surface of navel orange. The combined use of the PC-2 images demonstrated the detection of defect spots with minimal false positives. Based on the PC-2 weighing coefficients, the dominant wavelengths were 528,529,530,673,674 and 675nm. This research demonstrated the potential of multispectral image for online applications for detection of defect on navel oranges.

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Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging

Jia

et al. 2018

Lecture Notes in Computer Science

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Detecting Pesticide Residue on Navel Orange Surface by Using Hyperspectral Imaging

Cited by 11 publications

References 0 publications

Study of Fluorescence Spectrum for Measurement of Soluble Solids Content in Navel Orange

Study of Fluorescence Spectrum for Measurement of Soluble Solids Content in Navel Orange

Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image

Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging

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