Detection of early bruises in apples using hyperspectral data and thermal imaging

Baranowski, Piotr; Mazurek, Walentyna; Woźniak, Joanna; Majewska, U.

doi:10.1016/j.jfoodeng.2011.12.038

Cited by 186 publications

(65 citation statements)

References 21 publications

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“…Application of HSI was done for food quality evaluation soybean seeds, wheat, barley grains and Portobello mushroom (Agaricus bisporu) (Taghizadeh et al, 2011, Tumuluru et al, 2010, Arngren et al, 2011, Huang et al, 2014a, 2014b and detection of defects in apple fruits and lettuce leaves (Baranowski et al, 2012, Simko et al, 2015. In parallel, experiments using HSI techniques for detection of fungal infections in fruits of citrus, leaves of sugar beet, wheat and maize have proven the applicability of the technique (Lorente et al, 2013, Mahlein et al, 2010Hillnhütter et al, 2011, Firrao et al, 2010Yao et al, 2010, Bauriegel and Herppich, 2014, Williams et al, 2012.…”

Section: Hyperspectral Imaging and Its Utilization In Crop Phenotypinmentioning

confidence: 99%

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

Sytar

Brestič

Živčák

et al. 2017

Science of The Total Environment

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• Salinity represents an abiotic stress constraint affecting growth and productivity of plants • Better solutions is to improve the level of salt resistance using natural genetic variability within crop species • Phenomic methodology employing different non-invasive imaging systems for detecting quantitative and qualitative changes caused by salt stress at the whole plant and canopy level. Hyperspectral imaging techniques provide unique opportunities for fast and reliable evaluation of numerous characteristics associated both with various structural, biochemical and physiological traits • Salt-soil-plant interaction and sustainable coastal agriculture need powerful phenotyping tools Salinity represents an abiotic stress constraint affecting growth and productivity of plants in many regions of the world. One of the possible solutions is to improve the level of salt resistance using natural genetic variability within crop species. In the context of recent knowledge on salt stress effects and mechanisms of salt tolerance, this review present useful phenomic approach employing different non-invasive imaging systems for detection of quantitative and qualitative changes caused by salt stress at the plant and canopy level. The focus is put on hyperspectral imaging technique, which provides unique opportunities for fast and reliable estimate of numerous characteristics associated both with various structural, biochemical Science of the Total Environment 578 (2017) 90-99 ⁎ Corresponding authors at:

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Section: Hyperspectral Imaging and Its Utilization In Crop Phenotypinmentioning

confidence: 99%

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

Sytar

Brestič

Živčák

et al. 2017

Science of The Total Environment

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“…For this purpose, there are several effective image and thermal processing methods developed (e.g. discriminate bruised and non-bruised apples with visual and near-infrared spectroscopy [1] or detecting early-bruises using hyperspectral data and thermal imaging [2]). The damage often appears inside the fruit texture (e.g.…”

Section: Introductionmentioning

confidence: 99%

Method for measuring fruit failure caused by different mechanical loads

Farkas¹,

Petróczki²,

Fenyvesi³

2016

HAE

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There are different limit values of mechanical effects causing bruise or failure of fruits during the variety of processes: the allowable drop height (fruit harvesting), the static load of fruit column at storage bin, or maximal vibration acceleration while transporting. To reproduce each forces from manipulation, different measuring devices have to be employed. Using the DyMaTest instrument, we can analyze the failure mechanism of fruits producing various load-functions: constant, linear or cyclic waveforms. With a developed measuring method, we have the opportunity to determine the fruit's failure parameters, and compare the deformation graphs using different compressive loads.

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“…They obtained more than 94 % accuracy using max-product fuzzy neural network classifier. Baranowski et al [1] applied soft independent modeling of class analogy (SIMCA), LDA, and SVM on thermal imaging data to detect early bruises in apple fruits. They obtained the best CCR by LDA method as 95 % [1].…”

Section: Introductionmentioning

confidence: 99%

Development of a New Threshold Based Classification Model for Analyzing Thermal Imaging Data to Detect Fungal Infection of Pistachio Kernel

et al. 2013

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Thermal images have beneficial information which can be used for diagnostic purposes. The information can be released by applying appropriate analyses methods. In this research, a new algorithm, threshold based classification (TBC), was developed to analyze thermal images of healthy and fungal-infected pistachio kernels in MATLAB 2010A environment. Results showed that TBC algorithm can classify successfully healthy and infected pistachio kernels without considering the infection stages.

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Detection of early bruises in apples using hyperspectral data and thermal imaging

Cited by 186 publications

References 21 publications

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance

Method for measuring fruit failure caused by different mechanical loads

Development of a New Threshold Based Classification Model for Analyzing Thermal Imaging Data to Detect Fungal Infection of Pistachio Kernel

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