Optical non-destructive techniques for small berry fruits: A review
暂无分享,去创建一个
Menghan Hu | Miao Zhang | Menghan Hu | Qingli Dong | Baolin Liu | Shuping Li | Yangtai Liu | Hongpei Luo | Jianlin Feng | Yangtai Liu | Baolin Liu | Meng-Han Hu | Qing-Li Dong | Miao Zhang | Jianlin Feng | Shuping Li | Hongpei Luo
[1] Quansheng Chen,et al. Classification of tea category using a portable electronic nose based on an odor imaging sensor array. , 2013, Journal of pharmaceutical and biomedical analysis.
[2] D. Jayas,et al. Applications of Thermal Imaging in Agriculture and Food Industry—A Review , 2011 .
[3] Ning Wang,et al. Terahertz (THz) Applications in Food and Agriculture: A Review , 2013 .
[4] Cengiz Caner,et al. An innovative technique for extending shelf life of strawberry: Ultrasound , 2013 .
[5] Josse De Baerdemaeker,et al. Spatially resolved diffuse reflectance in the visible and near-infrared wavelength range for non-destructive quality assessment of ‘Braeburn’ apples , 2014 .
[6] K. R. Jain,et al. Non-destructive Quality Evaluation Technique for Processed Phyllanthus Emblica(Gooseberry) Using Image Processing , 2013, 2013 International Conference on Communication Systems and Network Technologies.
[7] Motoyasu Natsuga,et al. Non-destructive analysis of soluble sugar components in strawberry fruits using near-infrared spectroscopy. , 2009 .
[8] A. Siedliska,et al. Detection of fungal infections in strawberry fruit by VNIR/SWIR hyperspectral imaging , 2018 .
[9] Umezuruike Linus Opara,et al. Investigating non-destructive quantification and characterization of pomegranate fruit internal structure using X-ray computed tomography , 2014 .
[10] L. Capitán-Vallvey,et al. Smartphone-based simultaneous pH and nitrite colorimetric determination for paper microfluidic devices. , 2014, Analytical chemistry.
[11] Duo Li,et al. Synergetic use of thermal and visible imaging techniques for contactless and unobtrusive breathing measurement , 2017, Journal of biomedical optics.
[12] Gyeongsik Ok,et al. Foreign-body detection in dry food using continuous sub-terahertz wave imaging , 2014 .
[13] Hengjian Wang,et al. Volume estimation of strawberries, mushrooms, and tomatoes with a machine vision system , 2018 .
[14] Fred Godtliebsen,et al. Automatic nematode detection in cod fillets (Gadus morhua L.) by hyperspectral imaging , 2012 .
[15] Bruno H.G. Barbosa,et al. A computer vision system for coffee beans classification based on computational intelligence techniques , 2016 .
[16] Di Wu,et al. Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications , 2013 .
[17] Xiaoli Li,et al. Non-destructive discrimination of Chinese bayberry varieties using Vis/NIR spectroscopy , 2007 .
[18] Zeeya Merali. Optics: Super vision , 2015, Nature.
[19] Alex Martynenko,et al. Computer Vision for Real-Time Measurements of Shrinkage and Color Changes in Blueberry Convective Drying , 2013 .
[20] 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.
[21] Saeid Minaei,et al. Potential Applications of Computer Vision in Quality Inspection of Rice: A Review , 2015, Food Engineering Reviews.
[22] Baohua Zhang,et al. Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data , 2016 .
[23] Cristina Popa,et al. Testing fruit quality by photoacoustic spectroscopy assay , 2014 .
[24] Colm P. O'Donnell,et al. Applications of thermal imaging in food quality and safety assessment , 2010 .
[25] Gabriel A. Leiva-Valenzuela,et al. Automatic detection of orientation and diseases in blueberries using image analysis to improve their postharvest storage quality , 2013 .
[26] Wilson Castro,et al. Classification of Cape Gooseberry Fruit According to its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces , 2019, IEEE Access.
[27] Ernestina Casiraghi,et al. Evaluation of quality and nutraceutical content of blueberries (Vaccinium corymbosum L.) by near and mid-infrared spectroscopy , 2008 .
[28] Yuzhen Lu,et al. Non-Destructive Defect Detection of Apples by Spectroscopic and Imaging Technologies: A Review , 2017 .
[29] Guangtao Zhai,et al. Uses of selection strategies in both spectral and sample spaces for classifying hard and soft blueberry using near infrared data , 2018, Scientific Reports.
[30] Da-Wen Sun,et al. Improving quality inspection of food products by computer vision: a review , 2004 .
[31] Atsushi Hashimoto,et al. Strawberry cultivar identification and quality evaluation on the basis of multiple fruit appearance features , 2015, Comput. Electron. Agric..
[32] Guangtao Zhai,et al. Influence of image resolution on the performance of remote breathing rate measurement using thermal imaging technique , 2018, Infrared Physics & Technology.
[33] H. S. Scheuller,et al. Blackberry, black raspberry, blueberry, cranberry, red raspberry, and strawberry extracts inhibit growth and stimulate apoptosis of human cancer cells in vitro. , 2006, Journal of agricultural and food chemistry.
[34] T. Sun,et al. Confocal three-dimensional micro X-ray scatter imaging for non-destructive detecting foreign bodies with low density and low-Z materials in food products , 2015 .
[35] Ta-Te Lin,et al. An adaptive image segmentation algorithm for X-ray quarantine inspection of selected fruits , 2008 .
[36] Yankun Peng,et al. Prototype instrument development for non-destructive detection of pesticide residue in apple surface using Raman technology , 2014 .
[37] Lionel Canioni,et al. Review in terahertz spectral analysis , 2013 .
[38] Naoshi Kondo,et al. Evaluation of the hydration state of saccharides using terahertz time-domain attenuated total reflection spectroscopy. , 2013, Food chemistry.
[39] Masao Takayanagi,et al. Quantitative Analysis of Ingredients of Blueberry Fruits by near Infrared Spectroscopy , 2014 .
[40] Floyd E. Dowell,et al. Comparison of Three near Infrared Spectrophotometers for Infestation Detection in Wild Blueberries Using Multivariate Calibration Models , 2009 .
[41] Bayram Cetisli,et al. Design of an automatic apple sorting system using machine vision , 2016, Comput. Electron. Agric..
[42] Mooi Choo Chuah,et al. A Strawberry Detection System Using Convolutional Neural Networks , 2018, 2018 IEEE International Conference on Big Data (Big Data).
[43] N. Valous,et al. VIS-NIR spectroscopy as a process analytical technology for compositional characterization of film biopolymers and correlation with their mechanical properties. , 2015, Materials science & engineering. C, Materials for biological applications.
[44] M. Manley. Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials. , 2014, Chemical Society reviews.
[45] Lijuan Xie,et al. Quantification of glucose, fructose and sucrose in bayberry juice by NIR and PLS , 2009 .
[46] Jian-min Zhou,et al. Determination of Nitrogen in Rapeseed by Fourier Transform Infrared Photoacoustic Spectroscopy and Independent Component Analysis , 2015 .
[47] Gyeongsik Ok,et al. High-performance sub-terahertz transmission imaging system for food inspection. , 2015, Biomedical optics express.
[48] Ana Cristina Figueira,et al. Predicting pork quality using Vis/NIR spectroscopy. , 2015, Meat science.
[49] Wenqian Huang,et al. Nondestructive evaluation of soluble solid content in strawberry by near infrared spectroscopy , 2013, Other Conferences.
[50] Zou Xiaobo,et al. In-line detection of apple defects using three color cameras system , 2010 .
[51] Fumiomi Takeda,et al. Nondestructive Detection and Quantification of Blueberry Bruising using Near-infrared (NIR) Hyperspectral Reflectance Imaging , 2016, Scientific Reports.
[52] J. Williamson,et al. Classification of blueberry fruit and leaves based on spectral signatures , 2012 .
[53] Yibin Ying,et al. Discrimination of Transgenic Rice containing the Cry1Ab Protein using Terahertz Spectroscopy and Chemometrics , 2015, Scientific Reports.
[54] L. Bodria,et al. Prediction of blueberry (Vaccinium corymbosum) ripeness by a portable Vis-NIR device , 2009 .
[55] Changying Li,et al. Detection of Internally Bruised Blueberries Using Hyperspectral Transmittance Imaging , 2017 .
[56] Harish Kumar Sardana,et al. Image acquisition techniques for assessment of legume quality , 2015 .
[57] Sarun Sumriddetchkajorn,et al. Cell phone-based two-dimensional spectral analysis for banana ripeness estimation , 2012 .
[58] Davide Contini,et al. Optical properties–microstructure–texture relationships of dried apple slices: Spatially resolved diffuse reflectance spectroscopy as a novel technique for analysis and process control , 2014 .
[59] A. Jamalipour,et al. Lab-in-a-Phone: Smartphone-Based Portable Fluorometer for pH Measurements of Environmental Water , 2014, IEEE Sensors Journal.
[60] Xiao-Ping Zhang,et al. Physical Password Breaking via Thermal Sequence Analysis , 2019, IEEE Transactions on Information Forensics and Security.
[61] Xiaoli Li,et al. Non-destructive measurement of acidity of Chinese bayberry using Vis/NIRS techniques , 2006 .
[62] Colm P. O'Donnell,et al. Terahertz time domain spectroscopy and imaging: Emerging techniques for food process monitoring and quality control , 2012 .
[63] Nay Zar Aung,et al. A simple and efficient method for automatic strawberry shape and size estimation and classification , 2018, Biosystems Engineering.
[64] Silvia Matiacevich,et al. Quality assessment of blueberries by computer vision , 2011 .
[65] Xiao-ying Niu,et al. [Nondestructive discrimination of strawberry varieties by NIR and BP-ANN]. , 2012, Guang pu xue yu guang pu fen xi = Guang pu.
[66] M. S. Aday,et al. The shelf life extension of fresh strawberries using an oxygen absorber in the biobased package , 2013 .
[67] S. Park,et al. Rapid discrimination of commercial strawberry cultivars using Fourier transform infrared spectroscopy data combined by multivariate analysis , 2009, Plant Biotechnology Reports.
[68] Renfu Lu,et al. Prediction of firmness and soluble solids content of blueberries using hyperspectral reflectance imaging , 2013 .
[69] Manuela Zude,et al. An approach for monitoring the chilling injury appearance in bananas by means of backscattering imaging , 2013 .
[70] Gyeongsik Ok,et al. High-speed terahertz imaging toward food quality inspection. , 2014, Applied optics.
[71] Roberto Oberti,et al. Derivation of a Blueberry Ripeness Index with a View to a Low-Cost, Handheld Optical Sensing Device for Supporting Harvest Decisions , 2013 .
[72] Jiewen Zhao,et al. Selection of wavelength for strawberry NIR spectroscopy based on BiPLS combined with SAA: Selection of wavelength for strawberry NIR spectroscopy based on BiPLS combined with SAA , 2012 .
[73] 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.
[74] Umezuruike Linus Opara,et al. Estimating blueberry mechanical properties based on random frog selected hyperspectral data , 2015 .
[75] L. Sabbatini,et al. Archaeometric investigation of Roman tesserae from Herculaneum (Italy) by the combined use of complementary micro-destructive analytical techniques , 2009 .
[76] Sarun Sumriddetchkajorn,et al. Mobile-platform based colorimeter for monitoring chlorine concentration in water , 2014 .
[77] F. Shen,et al. On‐line discrimination of storage shelf‐life and prediction of post‐harvest quality for strawberry fruit by visible and near infrared spectroscopy , 2018, Journal of Food Process Engineering.
[78] Abbas Jamalipour,et al. Combined "dual" absorption and fluorescence smartphone spectrometers. , 2015, Optics letters.
[79] Renfu Lu,et al. Assessment of internal quality of blueberries using hyperspectral transmittance and reflectance images with whole spectra or selected wavelengths , 2014 .
[80] L. B. Christensen,et al. Frozen and defrosted fruit revealed with X-ray dark-field radiography , 2014 .
[81] Tsvi Kuflik,et al. Identificator: A web-based tool for visual plant disease identification, a proof of concept with a case study on strawberry , 2012 .
[82] Chunjiang Zhao,et al. Quantitative analysis of BPO additive in flour via Raman hyperspectral imaging technology , 2017, European Food Research and Technology.
[83] Jan Sijbers,et al. A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs , 2016 .
[84] Guangtao Zhai,et al. Active learning algorithm can establish classifier of blueberry damage with very small training dataset using hyperspectral transmittance data , 2018 .
[85] Hai Jun Xu,et al. Ultrasensitive and quantitative detection of paraquat on fruits skins via surface-enhanced Raman spectroscopy , 2015 .
[86] Qi Wang,et al. Outdoor color rating of sweet cherries using computer vision , 2012 .
[87] Menghan Hu,et al. Image Segmentation of Bananas in a Crate Using a Multiple Threshold Method , 2016 .
[88] Di Wu,et al. Internal quality determination of fruit with bumpy surface using visible and near infrared spectroscopy and chemometrics: A case study with mulberry fruit , 2011 .
[89] Jun Li,et al. A deep learning method for recognizing elevated mature strawberries , 2018, 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC).
[90] Vilasrao J. Kadam,et al. Photoacoustic Spectroscopy and Its Applications – A Tutorial Review , 2010 .
[91] Baohua Zhang,et al. Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review , 2018, Trends in Food Science & Technology.
[92] Changying Li,et al. Optical properties of blueberry flesh and skin and Monte Carlo multi-layered simulation of light interaction with fruit tissues , 2019, Postharvest Biology and Technology.
[93] Joe-Air Jiang,et al. Automatic X-ray quarantine scanner and pest infestation detector for agricultural products , 2011 .
[94] Neal A. Rakow,et al. A colorimetric sensor array for odour visualization , 2000, Nature.
[95] M. Ngadi,et al. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry , 2007 .
[96] Xiuqin Rao,et al. Quality and safety assessment of food and agricultural products by hyperspectral fluorescence imaging. , 2012, Journal of the science of food and agriculture.
[97] A. Peirs,et al. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .
[98] M. Zude,et al. Nondestructive application of laser-induced fluorescence spectroscopy for quantitative analyses of phenolic compounds in strawberry fruits (Fragaria x ananassa). , 2008, Journal of agricultural and food chemistry.
[99] Marcin Witkowski,et al. A Potential Use of 3-D Scanning to Evaluate the Chemical Composition of Pork Meat. , 2015, Journal of food science.
[100] Lalit Gupta,et al. A decision-fusion strategy for fruit quality inspection using hyperspectral imaging , 2012 .
[101] Won Suk Lee,et al. Recognising blueberry fruit of different maturity using histogram oriented gradients and colour features in outdoor scenes , 2018, Biosystems Engineering.
[102] C. Bassi,et al. Effects of Dietary Components on Cancer of the Digestive System , 2015, Critical reviews in food science and nutrition.
[103] Emil Veg,et al. Application of Statistical Indicators for Digital Image Analysis and Segmentation in Sorting of Agriculture Products , 2018, Tehnicki vjesnik - Technical Gazette.
[104] Changhong Liu,et al. Application of Multispectral Imaging to Determine Quality Attributes and Ripeness Stage in Strawberry Fruit , 2014, PloS one.
[105] José Manuel Amigo,et al. Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines , 2019, Biosystems Engineering.
[106] Xu Liming,et al. Automated strawberry grading system based on image processing , 2010 .
[107] Quansheng Chen,et al. Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety , 2013 .
[108] Ya Hu,et al. Bruise detection on red bayberry (Myrica rubra Sieb. & Zucc.) using fractal analysis and support vector machine , 2011 .
[109] Changying Li,et al. Blueberry bruise detection by pulsed thermographic imaging , 2018 .
[110] Baohua Zhang,et al. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review , 2014 .
[111] Changying Li,et al. A multimodal machine vision system for quality inspection of onions , 2015 .
[112] Jianwei Qin,et al. Nondestructive evaluation of internal maturity of tomatoes using spatially offset Raman spectroscopy , 2012 .
[113] Antony Harfield,et al. An iPhone-based digital image colorimeter for detecting tetracycline in milk. , 2015, Food chemistry.
[114] Barbara Rasco,et al. Analyses of phosmet residues in apples with surface-enhanced Raman spectroscopy , 2014 .
[115] Wouter Saeys,et al. NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review , 2012, Food and Bioprocess Technology.
[116] Suporn Pongnumkul,et al. Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research , 2015, J. Sensors.
[117] Cengiz Caner,et al. Use of microperforated films and oxygen scavengers to maintain storage stability of fresh strawberries , 2012 .
[118] Alex Martynenko. True, Particle, and Bulk Density of Shrinkable Biomaterials: Evaluation from Drying Experiments , 2014 .
[119] Cengiz Caner,et al. Effect of oxygen and carbon dioxide absorbers on strawberry quality , 2011 .
[120] FEASIBILITY STUDY OF NIR APPLICATION TO STRAWBERRY INTERNAL FRUIT QUALITY TRAITS , 2014 .
[121] Kang Tu,et al. Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering , 2016, Food and Bioprocess Technology.
[122] Peter Meinlschmidt,et al. Detection of foreign substances in food using thermography , 2002, SPIE Defense + Commercial Sensing.
[123] Lili He,et al. Recovery and quantitative detection of thiabendazole on apples using a surface swab capture method followed by surface-enhanced Raman spectroscopy. , 2014, Food chemistry.
[124] Se-Han Kim,et al. Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism , 2018, 2018 International Conference on Computing and Network Communications (CoCoNet).
[125] Sarun Sumriddetchkajorn,et al. Android-based rice leaf color analyzer for estimating the needed amount of nitrogen fertilizer , 2015, Comput. Electron. Agric..
[126] Ernestina Casiraghi,et al. Near infrared (NIR) spectroscopy as a tool for monitoring blueberry osmo-air dehydration process , 2011 .
[127] Chunming Gao,et al. Photoacoustic Spectroscopy as a Non-destructive Tool for Quantification of Pesticide Residue in Apple Cuticle , 2015 .
[128] K. Tu,et al. Identification of Bruise and Fungi Contamination in Strawberries Using Hyperspectral Imaging Technology and Multivariate Analysis , 2018, Food Analytical Methods.
[129] H. Horie,et al. Use of image analysis to estimate anthocyanin and UV-excited fluorescent phenolic compound levels in strawberry fruit , 2013, Breeding science.
[130] S. Ji,et al. Selection of wavelength for strawberry NIR spectroscopy based on BiPLS combined with SAA , 2011 .
[131] Umezuruike Linus Opara,et al. Prediction of mechanical properties of blueberry using hyperspectral interactance imaging , 2016 .
[133] P. Pathare,et al. Bruise damage measurement and analysis of fresh horticultural produce-A review , 2014 .
[134] Talmai Oliveira,et al. A mobile, lightweight, poll-based food identification system , 2014, Pattern Recognit..
[135] C. Schebor,et al. Water content effect on the chromatic attributes of dehydrated strawberries during storage, as evaluated by image analysis , 2013 .
[136] C. Mulone,et al. Analysis of strawberry ripening by dynamic speckle measurements , 2013, Iberoamerican Meeting of Optics and the Latin American Meeting of Optics, Lasers and Their Applications.
[137] Junichi Sugiyama,et al. NIR spectral imaging with discriminant analysis for detecting foreign materials among blueberries , 2010 .
[138] Daniel Filippini,et al. Biosensing with cell phones. , 2014, Trends in biotechnology.
[139] Chunjiang Zhao,et al. Raman hyperspectral image analysis of benzoyl peroxide additive , 2017 .
[140] Dolores Pérez-Marín,et al. Non-destructive characterization and quality control of intact strawberries based on NIR spectral data , 2012 .
[141] Won Suk Lee,et al. Identifying blueberry fruit of different growth stages using natural outdoor color images , 2014 .
[142] Yong He,et al. Nondestructive Measurement of Acidity of Strawberry Using Vis/NIR Spectroscopy , 2008 .
[143] Bart Nicolai,et al. Microstructural characterisation of commercial kiwifruit cultivars using X-ray micro computed tomography , 2014 .
[144] Sunil K Mathanker,et al. X-Ray Applications in Food and Agriculture: A Review , 2013 .
[145] L. Terry,et al. Berry antioxidants: small fruits providing large benefits. , 2014, Journal of the science of food and agriculture.
[146] Carol J Boushey,et al. A Method to Determine the Density of Foods using X-ray Imaging. , 2015, Journal of food engineering.
[147] Yibin Ying,et al. The Detection of Agricultural Products and Food Using Terahertz Spectroscopy: A Review , 2013 .
[148] K. Tu,et al. Near-Infrared Hyperspectral Imaging Rapidly Detects the Decay of Postharvest Strawberry Based on Water-Soluble Sugar Analysis , 2019, Food Analytical Methods.
[149] I Leinonen,et al. Thermal imaging and carbon isotope composition indicate variation amongst strawberry (Fragaria×ananassa) cultivars in stomatal conductance and water use efficiency , 2012 .
[150] Wenqian Huang,et al. Data Fusion of Two Hyperspectral Imaging Systems with Complementary Spectral Sensing Ranges for Blueberry Bruising Detection , 2018, Sensors.
[151] Artur Zdunek,et al. Relation of biospeckle activity with chlorophyll content in apples , 2012 .
[152] S. Matiacevich,et al. State diagram, sorption isotherm and color of blueberries as a function of water content , 2013 .
[153] Guangtao Zhai,et al. Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data , 2018, Sensors.
[154] Lijuan Xie,et al. Prediction of titratable acidity, malic acid, and citric acid in bayberry fruit by near-infrared spectroscopy , 2011 .
[155] Won-Hui Lee,et al. Food inspection system using terahertz imaging , 2014 .
[156] Daniel Cozzolino,et al. Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality , 2011 .
[157] Yong He,et al. Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit , 2019, International journal of molecular sciences.
[158] Yibin Ying,et al. Determination of tetracycline hydrochloride by terahertz spectroscopy with PLSR model. , 2015, Food chemistry.
[159] P. Baranowski,et al. Detection of early bruises in apples using hyperspectral data and thermal imaging , 2012 .
[160] Chunjiang Zhao,et al. Effective detection of benzoyl peroxide in flour based on parameter selection of Raman hyperspectral system , 2017 .
[161] Lars Bager Christensen,et al. X-ray dark-field imaging for detection of foreign bodies in food , 2013 .
[162] Yong He,et al. Quantitative analysis of bayberry juice acidity based on visible and near-infrared spectroscopy. , 2007, Applied optics.
[163] P Jancsók,et al. Preliminary study on the influence of turgor pressure on body reflectance of red laser light as a ripeness indicator for apples , 1999 .
[164] A. Agostino,et al. A diagnostic study on folium and orchil dyes with non-invasive and micro-destructive methods. , 2015, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.
[165] Ferruh Erdogdu,et al. Potential use of 3-dimensional scanners for food process modeling , 2009 .