Classification and characterization of blueberry mechanical damage with time evolution using reflectance, transmittance and interactance imaging spectroscopy
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[1] Fred Godtliebsen,et al. Automatic nematode detection in cod fillets (Gadus morhua L.) by hyperspectral imaging , 2012 .
[2] Ghasem Abedi,et al. Bruise susceptibilities of Golden Delicious apples as affected by mechanical impact and fruit properties , 2013, The Journal of Agricultural Science.
[3] Veerle Van linden,et al. Impact damage of apples during transport and handling , 2007 .
[4] Abhijit Kar,et al. Recent developments in applications of MRI techniques for foods and agricultural produce—an overview , 2013, Journal of Food Science and Technology.
[5] Mahmoud Omid,et al. Principles and Applications of Light Backscattering Imaging in Quality Evaluation of Agro-food Products: a Review , 2012, Food and Bioprocess Technology.
[6] Gui-fang Wu,et al. Investigating the effects of simulated transport vibration on tomato tissue damage based on vis/NIR spectroscopy , 2014 .
[7] Umezuruike Linus Opara,et al. Estimating blueberry mechanical properties based on random frog selected hyperspectral data , 2015 .
[8] Daniel Sbarbaro,et al. Hyperspectral transmittance imaging of the shell-free cooked clam Mulinia edulis for parasite detection , 2013 .
[9] Renfu Lu,et al. Assessment of internal quality of blueberries using hyperspectral transmittance and reflectance images with whole spectra or selected wavelengths , 2014 .
[10] Francisco Jiménez-Jiménez,et al. Non-destructive determination of impact bruising on table olives using Vis–NIR spectroscopy , 2012 .
[11] V. Wu,et al. Antimicrobial effect of blueberry (Vaccinium corymbosum L.) extracts against the growth of Listeria monocytogenes and Salmonella Enteritidis , 2014 .
[12] P. Baranowski,et al. Supervised classification of bruised apples with respect to the time after bruising on the basis of hyperspectral imaging data , 2013 .
[13] Hongdong Li,et al. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. , 2009, Analytica chimica acta.
[14] Wenqian Huang,et al. Development of a multispectral imaging system for online detection of bruises on apples , 2015 .
[15] Daniel E. Guyer,et al. Detecting internal insect infestation in tart cherry using transmittance spectroscopy , 2008 .
[16] Gabriel A. Leiva-Valenzuela,et al. Automatic detection of orientation and diseases in blueberries using image analysis to improve their postharvest storage quality , 2013 .
[17] Zhiguo Li,et al. Quantitative evaluation of mechanical damage to fresh fruits , 2014 .
[18] Won Suk Lee,et al. Identifying blueberry fruit of different growth stages using natural outdoor color images , 2014 .
[19] Min Zhang,et al. Detection of insect-damaged vegetable soybeans using hyperspectral transmittance image , 2013 .
[20] S. Cessie,et al. Ridge Estimators in Logistic Regression , 1992 .
[21] João Gama,et al. Functional Trees , 2001, Machine Learning.
[22] Stephen R. Delwiche,et al. Hyperspectral near-infrared imaging for the detection of physical damages of pear , 2014 .
[23] A. Peirs,et al. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .
[24] Renfu Lu,et al. Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers , 2013, Food and Bioprocess Technology.
[25] Jorge Chanona-Pérez,et al. Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning , 2014 .
[26] Qibing Zhu,et al. Automatic threshold method and optimal wavelength selection for insect-damaged vegetable soybean detection using hyperspectral images , 2014 .
[27] Michael Knee,et al. Fruit quality and its biological basis. , 2002 .
[28] Di Wu,et al. Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications , 2013 .
[29] Da-Wen Sun,et al. Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review. , 2015, Comprehensive reviews in food science and food safety.
[30] Necla Demir,et al. Classification of impacted blueberries during storage using an electronic nose. , 2011, Journal of the science of food and agriculture.
[31] Changying Li,et al. Gas sensor array for blueberry fruit disease detection and classification , 2010 .
[32] S. Sathiya Keerthi,et al. Improvements to Platt's SMO Algorithm for SVM Classifier Design , 2001, Neural Computation.
[33] G. Blanco-Roldán,et al. Isolation of table olive damage causes and bruise time evolution during fruit detachment with trunk shaker. , 2013 .
[34] J P Wold,et al. Feasibility of NIR interactance hyperspectral imaging for on-line measurement of crude composition in vacuum packed dry-cured ham slices. , 2013, Meat science.
[35] Maohua Wang,et al. Quantitative Determination of Onion Internal Quality Using Reflectance, Interactance, and Transmittance Modes of Hyperspectral Imaging , 2013 .
[36] P. Baranowski,et al. Detection of early apple bruises using pulsed-phase thermography , 2009 .
[37] Tim Holmes,et al. Quantifying the Diffuse Reflectance Change Caused by Fresh Bruises on Apples , 2014 .
[38] Josse De Baerdemaeker,et al. Detecting Bruises on ‘Golden Delicious’ Apples using Hyperspectral Imaging with Multiple Wavebands , 2005 .
[39] M. Manley. Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials. , 2014, Chemical Society reviews.
[40] K. Bunzl,et al. In situ gamma-spectrometry several years after deposition of radiocesium. Part I. Approximation of depth distributions by the Lorentz function. , 1996, Radiation and environmental biophysics.
[41] Gamal ElMasry,et al. High-speed assessment of fat and water content distribution in fish fillets using online imaging spectroscopy. , 2008, Journal of agricultural and food chemistry.
[42] Piotr Baranowski,et al. Classification models of bruise and cultivar detection on the basis of hyperspectral imaging data , 2014 .
[43] Harry Zhang,et al. Learning probabilistic decision trees for AUC , 2006, Pattern Recognit. Lett..
[44] D. Ingram,et al. Overview of the Health Properties of Blueberries , 2013 .
[45] Morteza Sadeghi,et al. The effect of impact and fruit properties on the bruising of peach , 2010 .
[46] Changying Li,et al. Measurement of mechanical impacts created by rotary, slapper, and sway blueberry mechanical harvesters , 2014 .
[47] Moon S. Kim,et al. Detection of Cracks on Tomatoes Using a Hyperspectral Near-Infrared Reflectance Imaging System , 2014, Sensors.
[48] D. Joyce,et al. Non-destructive 1H-MRI assessment of flesh bruising in avocado (Persea americana M.) cv. Hass , 2015 .
[49] Frederick E. Petry,et al. Principles and Applications , 1997 .
[50] P. Baranowski,et al. Detection of early bruises in apples using hyperspectral data and thermal imaging , 2012 .
[51] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[52] Paul D. Gader,et al. Hyperspectral band selection for detecting different blueberry fruit maturity stages , 2014 .
[53] Liang Gong,et al. Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier , 2015 .
[54] Ning Wang,et al. Early detection of apple bruises on different background colors using hyperspectral imaging , 2008 .
[55] H. Scherm,et al. Postharvest Disease Development on Southern Highbush Blueberry Fruit in Relation to Berry Flesh Type and Harvest Method. , 2013, Plant disease.
[56] D. Lorente,et al. Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay , 2014, Food and Bioprocess Technology.
[57] Xiaojing Chen,et al. Identification of heavy metal-contaminated Tegillarca granosa using infrared spectroscopy , 2015 .
[58] Umezuruike Linus Opara,et al. Prediction of mechanical properties of blueberry using hyperspectral interactance imaging , 2016 .
[59] Yankun Peng,et al. Hyperspectral Scattering for Assessing Peach Fruit Firmness , 2004 .
[60] Yibin Ying,et al. Comparison of diffuse reflectance and transmission mode of visible-near infrared spectroscopy for detecting brown heart of pear , 2007 .
[61] P. Pathare,et al. Bruise damage measurement and analysis of fresh horticultural produce-A review , 2014 .
[62] Yong He,et al. Identification of crack features in fresh jujube using Vis/NIR hyperspectral imaging combined with image processing , 2014 .
[63] Yunfei Li,et al. Effect of transport vibration levels on mechanical damage and physiological responses of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua) , 2007 .
[64] Eibe Frank,et al. Logistic Model Trees , 2003, ECML.
[65] C. Forney,et al. Microstructural Indicators of Quality-related Characteristics of Blueberries—An Integrated Approach , 2001 .