The identification of diseases and defects in potato tubers from measurements of optical spectral reflectance

Porteous, R. L.; Muir, A. Y.; Wastie, R. L.

doi:10.1016/0021-8634(81)90066-4

Cited by 27 publications

(14 citation statements)

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“…Compared to the other groups, the healthy tissue has the highest reflectance from 600 nm to 900 nm. This is in accordance with Porteous, Muir, and Wastie (1981) who obtained a notably reduced reflectance in areas of potato with brown lesions compared to normal tissue from the 600 to 900 nm spectral range. Same behaviour was observed in apples by Xing et al (2007) where the absorption by water was initially high (500-800 nm) in a bruised area as the water was set free from the cells, but after some time the absorption decreased because that water was lost through evaporation.…”

Section: Resultssupporting

confidence: 92%

Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging

et al. 2016

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Section: Resultssupporting

confidence: 92%

Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging

et al. 2016

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“…This could be achieved by using a different image acquisition system (i.e. sensitive from 500 nm to 2000 nm), in order to compare our results with the obtained in [8].…”

Section: Discussionmentioning

confidence: 99%

“…Finally, there are contributions [6] that investigate composition characteristics from potato tubers like water, starch and proteins, using invasive spectroscopy techniques, meanwhile others [7] use NIR spectroscopy to predict specific gravity and dry matter in potatoes. Using other optical spectral methods [8], there are contributions for the detection of common scab, dry rot, gangrene, and other diseases, using wavelength ranges between 590 nm and 2030 nm, and getting accuracies up to 83%. Unfortunately, these systems are either destructive or they can not be easily included in classical machine vision developments in order to use the same image acquisition for all the processes.…”

Section: Introductionmentioning

confidence: 99%

Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System

Dacal-Nieto

Formella

Carrión

et al. 2011

Image Analysis and Processing – ICIAP 2011

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The common scab is a skin disease of the potato tubers that decreases the quality of the product and influences significantly the price. We present an objective and non-destructive method to detect the common scab on potato tubers using an experimental hyperspectral imaging system. A supervised pattern recognition experiment has been performed in order to select the best subset of bands and classification algorithm for the problem. Support Vector Machines (SVM) and Random Forest classifiers have been used. We map the amount of common scab in a potato tuber by classifying each pixel in its hyperspectral cube. The result is the percentage of the surface affected by common scab. Our system achieves a 97.1% of accuracy with the SVM classifier.

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“…7 This measurement is also capable of indicating other discolorations' of potatoes like black spots and greening of potatoes. Recently, Porteous et al 105 identified the diffuse reflectance at wavelengths between 590 and 890 nm, and the bands near 1100 and 1400 nm as being the most significant in detecting a number of diseases and defects such as bacterial soft rot, blight, common scab, dry rot, gangrene, greening, and skin spot ( Figure 27). The wavelengths suggested for detecting these defects in their order of importance are: 650, 710, 1410, 630, 750, and 830 nm.…”

Section: Potatoesmentioning

confidence: 97%

Nondestructive optical methods of food quality evaluation

Deshpande

Cheryan

Gunasekaran

et al. 1984

C R C Critical Reviews in Food Science and Nutrition

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Quality control is an important aspect of food production and processing from the point of view of providing foods of acceptable nutritional value, and for providing safety of products. Several characteristics such as size, shape, density, maturity, moisture content, oil content, flavor, firmness, tenderness, color, defects, blemishes, etc., are routinely used in the quality control of agricultural and biological food products. Until recently, most analytical techniques used in quality control required isolation of the food component of interest. The original properties of the product are, therefore, destroyed during sample preparation and analysis. Oftentimes, such analyses are expensive, time consuming, and require sophisticated instrumentation, and hence are not suited for "on-line" quality control of food products. Recent progress in the development of instrumentation utilizing the optical properties of food products has provided several nondestructive techniques for quality evaluation. Most optical methods of nondestructive nature make use of the characteristic absorption spectra of components of interest. Such methods are highly sensitive, rapid, and reproducible, and have been successively used in routine "on-line" quality control of a large number of samples. In this article, theoretical considerations in the development of nondestructive analytical techniques based on the optical properties of several agricultural and biological products are briefly reviewed. A major emphasis is placed on quality control methods that are particularly useful in maturity and/or ripeness evaluation of food products, the detection of external and internal defects, and the subsequent development of automatic sorting machines for on-line measurement of quality.

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The identification of diseases and defects in potato tubers from measurements of optical spectral reflectance

Cited by 27 publications

References 1 publication

Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging

Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging

Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System

Nondestructive optical methods of food quality evaluation

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