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"referenceList" : "Brosnan, T., Sun, D.W., Inspection and grading of agricultural and food products by computer vision systems-a review (2002) Computers and Electronics in Agriculture., 36, pp. 193-213; \n\nKataoka, M., Yoshida, K., Miyanaga, Y., Tsuji, E., Tokuyama, E., Uchida, T., Evaluation of the taste and smell of bottled nutritive drinks (2005) International Journal of Pharmaceutics., 305, pp. 13-21; \n\nZou, X.B., Zhao, J.W., Li, Y.X., Apple color grading based on organization feature parameters (2007) Pattern Recognition Letters., 28, pp. 2046-2053; \n\nRao, X., Ying, Y., A method of size inspection for fruit with machine vision (2005), Boston, MA, United StatesLu, N., Tredgold, A., Fielding, E.R., Use of machine vision and fuzzy sets to classify soft fruit (1995), Wuhan, ChinaKavdir, I., Lu, R., Ariana, D., Ngouajio, A., Visible and near-infrared spectroscopy for nondestructive quality assessment of pickling cucumbers (2007) Postharvest Biology and Technology., 44, pp. 165-174; \n\nBulanon, D.M., Burks, T.F., Alchanatis, V., Study on fruit visibility for robotic harvesting (2007), Minneapolis, MN, United StatesZou, X., Zhao, J., Apple quality assessment by fusion three sensors (2005), Irvine, CA, United statesYoung, J.C., Chu, C.L.G., Lu, X.W., Zhu, H.H., Ester variability in apple varieties as determined by solid-phase microextraction and gas chromatography-mass spectrometry (2004) Journal of Agricultural and Food Chemistry., 52, pp. 8086-8093; \n\nYoruk, R., Yoruk, S., Balaban, M.O., Marshall, M.R., Machine vision analysis of antibrowning potency for oxalic acid: A comparative investigation on banana and apple (2004) Journal of Food Science, 69, pp. E281-E289; \n\nYang, Q., Approach to apple surface feature detection by machine vision (1994) Computers and Electronics in Agriculture., 11, pp. 249-264; \n\nXiuqin, R., Yibin, Y., YiKe, C., Haibo, H., Laser scatter feature of surface defect on apples (2006), Boston, MA, United StatesXiaobo, Z., Jiewen, Z., Xingyi, H., Yanxiao, L., Use of FT-NIR spectrometry in non-invasive measurements of soluble solid contents (SSC) of [']Fuji' apple based on different PLS models (2007) Chemometrics and Intelligent Laboratory Systems., 87, pp. 43-51; \n\nWen, Z., Tao, Y., Dual-camera NIR/MIR imaging for stem-end/calyx identification in apple defect sorting (2000) Transactions of the ASAE., 43, pp. 449-452; \n\nUpchurch, B.L., Throop, J.A., Effects of storage duration on detecting watercore in apples using machine vision (1994) Transactions of the ASAE., 37, pp. 483-486; \n\nThroop, J.A., Aneshansley, D.J., Upchurch, B.L., Near-IR and color imaging for bruise detection on Golden Delicious apples (1993), Boston, MA, USAUnay, D., Gosselin, B., Stem and calyx recognition on 'Jonagold' apples by pattern recognition (2007) Journal of Food Engineering., 78, pp. 597-605; \n\nUnay, D., Gosselin, B., Automatic defect segmentation of 'Jonagold' apples on multi-spectral images: A comparative study (2006) Postharvest Biology and Technology., 42, pp. 271-279; \n\nUnay, D., Gosselin, B., Artificial neural network-based segmentation and apple grading by machine vision (2005), Genova, ItalyShahin, M.A., Tollner, E.W., McClendon, R.W., Arabnia, H.R., Apple classification based on surface bruises using image processing and neural networks (2002) Transactions of the Asae., 45, pp. 1619-1627; \n\nSafren, O., Alchanatis, V., Ostrovsky, V., Levi, O., Detection of green apples in hyperspectral images of apple-tree foliage using machine vision (2007) Transactions of the ASABE., 50, pp. 2303-2313; \n\nRao, X.Q., Ying, Y.B., Cen, Y.K., Huang, H.B., Laser scatter feature of surface defect on apples-art, no. 638113 (2006) Optics for Natural Resources, Agriculture, and Foods., 6381, pp. 38113-38113; \n\nNicola Bart, M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K.I., Lammertyn, J., Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review (2007) Postharvest Biology and Technology., 46, pp. 99-118; \n\nPaulus, I., Schrevens, E., Shape Characterization of New Apple Cultivars by Fourier Expansion of Digitized Images (1999) Journal of Agricultural Engineering Research., 72, pp. 113-118; \n\nPaulus, I., De Busscher, R., Schrevens, E., Use of Image Analysis to Investigate Human Quality Classification of Apples (1997) Journal of Agricultural Engineering Research., 68, pp. 341-353; \n\nNarayanan, P., Lefcourt, A.M., Tasen, U., Rostamian, R., Kim, M.S., Tests of the ability to orient apples using their inertial properties (2007), Minneapolis, MN, United StatesNakano, K., Application of neural networks to the color grading of apples (1997) Computers and Electronics in Agriculture., 18, pp. 105-116; \n\nMehl, P.M., Chao, K., Kim, M., Chen, Y.R., Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis (2002) Applied Engineering in Agriculture., 18, pp. 219-226; \n\nLi, Q.Z., Wang, M.H., Gu, W.K., Computer vision based system for apple surface defect detection (2002) Computers and Electronics in Agriculture., 36, pp. 215-223; \n\nLefcout, A.M., Kim, M.S., Chen, Y.-R., Kang, S., Systematic approach for using hyperspectral imaging data to develop multispectral imagining systems: Detection of feces on apples (2006) Computers and Electronics in Agriculture., 54, pp. 22-35; \n\nLefcourt, A.M., Narayanan, P., Tasch, U., Rostamian, R., Kim, M.S., Chen, Y.-R., Algorithms for parameterization of dynamics of inertia-based apple orientation (2008) Applied Engineering in Agriculture., 24, pp. 123-129; \n\nKleynen, O., Leemans, V., Destain, M.F., Development of a multi-spectral vision system for the detection of defects on apples (2005) Journal of Food Engineering., 69, pp. 41-49; \n\nKaewapichai, W., Kaewtrakulpong, P., Prateepasen, A., A real-time automatic inspection system for pattavia pineapples (2006) Key Engineering Materials, 321-323 (II), pp. 1186-1191; \n\nHuang, Y.Q., Kangas, L.J., Rasco, B.A., Applications of artificial neural networks (ANNs) in food science (2007) Critical Reviews in Food Science and Nutrition., 47, pp. 113-126; \n\nElMasry, G., Wang, N., Vigneault, C., Qiao, J., ElSayed, A., Early detection of apple bruises on different background colors using hyperspectral imaging (2008) Lwt-Food Science and Technology., 41, pp. 337-345; \n\nLiao, Y.-T., Fan, Y.-X., Cheng, F., On-line prediction of fresh pork quality using visible/near-infrared reflectance spectroscopy Meat Science, 86, pp. 901-907; \n\nBulanon, D.M., Kataoka, T., Ota, Y., Hiroma, T., Segmentation algorithm for the automatic recognition of Fuji apples at harvest (2002) Biosystems Engineering., 83, pp. 405-412; \n\nBulanon, D.M., Kataoka, T., Okamoto, H., Hata, S., Development of a real-time machine vision system for the apple harvesting robot (2004), Sapporo, JapanBennedsen, B.S., Peterson, D.L., Tabb, A., Identifying defects in images of rotating apples (2005) Computers and Electronics in Agriculture., 48, pp. 92-102; \n\nAriana, D., Guyer, D.E., Shrestha, B., Integrating multispectral reflectance and fluorescence imaging for defect detection on apples (2006) Computers and Electronics in Agriculture., 50, pp. 148-161; \n\nYing, Y.-B., Gui, J.-S., Rao, X.-Q., Fruit shape classification based on Zernike moments. Jiangsu Daxue Xuebao (Ziran Kexue Ban) (2007) Journal of Jiangsu University, 28, pp. 1-3. , (Natural Science Edition); \n\nAbdullah, M.Z., Mohamad-Saleh, J., Fathinul-Syahir, A.S., Mohd-Azemi, B.M.N., Discrimination and classification of fresh-cut starfruits (Averrhoa carambola L.) using automated machine vision system (2006) Journal of Food Engineering., 76, pp. 506-523; \n\nAbdullah, M.Z., Fathinul-Syahir, A.S., Mohd-Azemi, B.M.N., Automated inspection system for colour and shape grading of starfruit (Averrhoa carambola L.) using machine vision sensor (2005) Transactions of the Institute of Measurement and Control., 27, pp. 65-87; \n\nZadeh, A., Schrieber, M., Color systems see what grayscales miss (2002) Machine Design., 73, pp. 30-34; \n\nWeeks, A.R., Gallagher, A., Eriksson, J., Detection of oranges from a color image of an orange tree (1999) Proceedings of SPIE-The International Society for Optical Engineering., 3808, pp. 346-357; \n\nPydipati, R., Burks, T.F., Lee, W.S., Identification of citrus disease using color texture features and discriminant analysis (2006) Computers and Electronics in Agriculture., 52, pp. 49-59; \n\nLee, D.J., Archibald, J.K., Chang, Y.C., Greco, C.R., Robust color space conversion and color distribution analysis techniques for date maturity evaluation (2008) Journal of Food Engineering., 88, pp. 364-372; \n\nLee, D.-J., Color space conversion for linear color grading (2000), Boston, USAAbdullah, M.Z., Guan, L.C., Mohamed, A.M.D., Noor, M.A.M., Color vision system for ripeness inspection of oil palm Elaeis guineensis (2002) Journal of Food Processing and Preservation., 26, pp. 213-235; \n\nZou, X.B., Zhao, J.W., Povey, M.J.W., Holmes, M., Mao, H.P., Variables selection methods in near-infrared spectroscopy (2010) Analytica Chimica Acta., 667, pp. 14-32; \n\nSteinmetz, V., Roger, J.M., Molto, E., Blasco, J., On-line Fusion of Colour Camera and Spectrophotometer for Sugar Content Prediction of Apples (1999) Journal of Agricultural Engineering Research., 73, pp. 207-216; \n\nKaffka, K.J., Horvath, L., Gonczy, J.L., Czabaffy, A., Nadai, B.T., Qualifying Foods by Near Infrared Reflectance Spectroscopy (1986), Eger, HungLu, R., Guyer, D.E., Beaudry, R.M., Determination of sugar content and firmness of apples using near-infrared diffuse reflectance (2000), Milwaukee, WI., United StatesRoth, E., Berna, A., Beullens, K., Yarramraju, S., Lammertyn, J., Schenk, A., Nicolai, B., Postharvest quality of integrated and organically produced apple fruit (2007) Postharvest Biology and Technology., 45, pp. 11-19; \n\nGishen, M., Dambergs, R.G., Cozzolino, D., Grape and wine analysis-enhancing the power of spectroscopy with chemometrics, A review of some applications in the Australian wine industry (2005) Australian Journal of Grape and Wine Research., 11, pp. 296-305; \n\nButz, P., Hofmann, C., Tauscher, B., Recent developments in noninvasive techniques for fresh fruit and vegetable internal quality analysis (2005) Journal of Food Science, 70, pp. R131-R141; \n\nChen, X., Yue, T., Yang, G., Research advances in non-destructive prediction technologies using VIS/NIR spectroscopy for kiwifruit property (2006) Rengong Jingti Xuebao/Journal of Synthetic Crystals., 35, pp. 240-245; \n\nYing, Y., Liu, Y., Fu, X., Lu, H., Effect of wavelet transforms techniques upon the estimation of sugar content in apple with near-infrared spectroscopy (2004), Philadelphia, PA, United StatesPeng, Y., Lu, R., An LCTF-based multispectral imaging system for estimation of apple fruit firmness: Part II, Selection of optimal wavelengths and development of prediction models (2006) Transactions of the Asabe., 49, pp. 269-275; \n\nDi Natale, C., Zude-Sasse, M., Macagnano, A., Paolesse, R., Herold, B., D'Amico, A., Outer product analysis of electronic nose and visible spectra: application to the measurement of peach fruit characteristics (2002) Analytica Chimica Acta., 459, pp. 107-117; \n\nLammertyn, J., Nicolai, B., Ooms, K., De Smedt, V., De Baerdemaeker, J., Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy (1998) Transactions of the ASAE., 41, pp. 1089-1094; \n\nCollier, W.A., Baird, D.B., Park-Ng, Z.A., More, N., Hart, A.L., Discrimination among milks and cultured dairy products using screen-printed electrochemical arrays and an electronic nose (2003) Sensors and Actuators, B: Chemical., 92, pp. 232-239; \n\nAlamar, M.C., Bobelyn, E., Lammertyn, J., Nicola Bart, M., Molt, E., Calibration transfer between NIR diode array and FT-NIR spectrophotometers for measuring the soluble solids contents of apple (2007) Postharvest Biology and Technology., 45, pp. 38-45; \n\nZou, X.B., Li, Y.X., Zhao, J.W., Using genetic algorithm interval partial least squares selection of the optimal near infrared wavelength regions for determination of the soluble solids content of \"Fuji\" apple (2007) Journal of near Infrared Spectroscopy., 15, pp. 153-159; \n\nZou, X.B., Zhao, J.W., Mao, H.P., Shi, J.Y., Yin, X.P., Li, Y.X., Genetic Algorithm Interval Partial Least Squares Regression Combined Successive Projections Algorithm for Variable Selection in Near-Infrared Quantitative Analysis of Pigment in Cucumber Leaves (2010) Applied Spectroscopy., 64, pp. 786-794; \n\nZou, X.B., Zhao, H.W., Li, Y.X., Selection of the efficient wavelength regions in FT-NIR spectroscopy for determination of SSC of 'Fuji' apple based on BiPLS and FiPLS models (2007) Vibrational Spectroscopy., 44, pp. 220-227; \n\nDull, G.G., Leffler, R.G., Birth, G.S., Smittle, D.A., Instrument for nondestructive measurement of soluble solids in honeydew melons (1992) Transactions of the ASAE., 35, pp. 735-737; \n\nMurakami, M., Himoto, J., Itoh, K., Analysis of apple quality by near infrared reflectance spectroscopy (1994) J. Fac. Agr. Hokkaido Univ., 66, pp. 51-61; \n\nMoons, E., Dardenne, P., Dubois, A., Nondestructive visible and NIR spectroscopy for the determination of internal quality in apple (1997), pp. 122-131. , Proceedings from the Sensors for Non-destructive Testing International ConferenceVentura, M., de Jager, A., Putter, H.D., Non-destructive determination of soluble solids in apple fruit by near infrared spectroscopy (NIRS) (1998) Postharvest Biology and Technology, 14, pp. 21-27; \n\nWayan Budiastra, I., Ikeda, Y., Nishizu, T., Optical methods for quality evaluation of fruits (part 1)-optical properties of selected fruits using the Kubelka-Munk theory and their relationships with fruit maturity and sugar content (1998) Journal of JSAM., 60, pp. 117-128; \n\nPeiris, K.H.S., Dull, G.G., Leffler, R.G., Kays, S.J., Spatial variability of soluble solids or dry-matter content within individual fruits, bulbs, or tubers: implications for the development and use of NIR spectrometric techniques (1999) Hortscience: A Publication of the American Society for Hortcultural Science., 34, pp. 114-118; \n\nLu, R., Ariana, D., A near-infrared sensing technique for measuring internal quality of apple fruit (2002) Applied Engineering in Agriculture., 18, pp. 585-590; \n\nLu, R., Predicting firmness and sugar content of sweet cherries using near-infrared diffuse reflectance spectroscopy (2001) Transactions of the American Society of Agricultural Engineers., 44, pp. 1265-1271; \n\nLammertyn, J., Peirs, A., Baerdemaeker, J.D., Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment (2000) Postharvest Biology and Technology., 18, pp. 121-132; \n\nPeirs, A., Tirry, J., Verlinden, B., Effect of biological variability on the robustness of NIR models for soluble solids content of apples (2003) Postharvest Biology and Technology., 28, pp. 269-280; \n\nMcGlone, V.A., Martinsen, P.J., Clark, C.J., Jordan, R.B., On-line detection of Brownheart in Braeburn apples using near infrared transmission measurements (2005) Postharvest Biology and Technology., 37, pp. 142-151; \n\nMcGlone, V.A., Clark, C.J., Jordan, R.B., Comparing density and VNIR methods for predicting quality parameters of yellow-fleshed kiwifruit (Actinidia chinensis) (2007) Postharvest Biology and Technology., 46, pp. 1-9; \n\nZou, X., Zhao, J., Li, Y., Selection of the efficient wavelength regions in FT-NIR spectroscopy for determination of SSC of 'Fuji' apple based on BiPLS and FiPLS models (2007) Vibrational Spectroscopy., 44, pp. 220-227; \n\nZou, X.B., Zhao, H.W., Huang, X.Y., Li, Y.X., Use of FT-NIR spectrometry in non-invasive measurements of soluble solid contents (SSC) of 'Fuji' apple based on different PLS models (2007) Chemometrics and Intelligent Laboratory Systems., 87, pp. 43-51; \n\nRoussel, S., Forsberg, G., Steinmetz, V., Grenier, P., Bellon-Maurel, V., Optimisation of electronic nose measurements, Part I: methodology of output feature selection (1998) Journal of Food Engineering., 37, pp. 207-222; \n\nShi, J., Yin, X., Zou, X., Zhao, J., Ju, S., Detection of strawberry firmness by NIR wavelength selection based on simulated annealing algorithm. Nongye Jixie Xuebao (2010) Transactions of the Chinese Society of Agricultural Machinery., 41, pp. 99-103; \n\nLozano, J., Santos, J.P., Sayago, I., Gutierrez, J., Horrillo, M.C., Identification of typical wine aromas by means of an electronic nose (2004), Vienna, AustriaFu, X., Ying, Y., Xu, H., Zhou, Y., Principal components-artificial neural networks for predicting SSC and firmness of fruits based on near infrared spectroscopy (2007), Minneapolis, MN, United StatesLee, K., Kim, G., Kang, S., Son, J., Choi, D., Choi, K., Measurement of sugar contents in citrus using near infrared transmittance (2004), Jeju Island, South KoreaMa, G., Fu, X.-P., Zhou, Y., Ying, Y.-B., Xu, H.-R., Xie, L.-J., Lin, T., Nondestructive sugar content determination of peaches by using near infrared spectroscopy technique (2007) Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis., 27, pp. 907-910; \n\nRodriguez-Saona, L.E., Fry, F.S., McLaughlin, M.A., Calvey, E.M., Rapid analysis of sugars in fruit juices by FT-NIR spectroscopy (2001) Carbohydrate Research., 336, pp. 63-74; \n\nMukasa, Y., Abe, H., Taguchi, K., Application of near-infrared diffuse reflectance spectroscopic analysis for estimating the ratio of true seed weight to fruit weight in sugar beet seed (2005) Plant Production Science., 8, pp. 3-7; \n\nXing, J., Van Linden, V., Vanzeebroeck, M., De Baerdemaeker, J., Bruise detection on Jonagold apples by visible and near-infrared spectroscopy (2005) Food Control., 16, pp. 357-361; \n\nCocciardi, R.A., Ismail, A.A., Wang, Y., Sedman, J., Heterospectral two-dimensional correlation spectroscopy of mid-infrared and fourier self-deconvolved near-infrared spectra of sugar solutions (2006) Journal of Agricultural and Food Chemistry., 54, pp. 6475-6481; \n\nSirisomboon, P., Tanaka, M., Fujita, S., Kojima, T., Evaluation of pectin constituents of Japanese pear by near infrared spectroscopy (2007) Journal of Food Engineering., 78, pp. 701-707; \n\nSubedi, P.P., Walsh, K.B., Owens, G., Prediction of mango eating quality at harvest using short-wave near infrared spectrometry (2007) Postharvest Biology and Technology., 43, pp. 326-334; \n\nTonning, E., Sapelnikova, S., Christensen, J., Carlsson, C., Winther-Nielsen, M., Dock, E., Solna, R., Emneus, J., Chemometric exploration of an amperometric biosensor array for fast determination of wastewater quality (2005) Biosensors & Bioelectronics., 21, pp. 608-617; \n\nZou, X.B., Zhao, J.W., Improving of prediction model for apple sugar content using independent component analysis (2006) Chinese Journal of Analytical Chemistry., 34, pp. 1291-1294; \n\nZou, X., Zhao, J., Xia, R., Sun, L., Near infrared determination of sugar content in apples based on multi-resolution decomposition and interval partial least square (iPLS) method (2006) Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery., 37, pp. 79-82; \n\nLeardi, R., Leardi, R., Genetic algorithm-PLS as a tool for wavelength selection in spectral data sets in Data Handling in Science and Technology (2003), pp. 169-196. , ElsevierLeardi, R., Seasholtz, M.B., Pell, R.J., Variable selection for multivariate calibration using a genetic algorithm: prediction of additive concentrations in polymer films from Fourier transform-infrared spectral data (2002) Analytica Chimica Acta., 461, pp. 189-200; \n\nNørgaard, L.A.S., Wagner, J., Nielsen, J.P., Munck, L., Engelsen, S.B., Interval Partial Least Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy (2000) Applied Spectroscopy, 54, pp. 413-419; \n\nGardner, J.W., Shurmer, H.V., Tan, T.T., Application of an electronic nose to the discrimination of coffees (1992) Sensors and Actuators, B: Chemical, B6, pp. 71-75; \n\nDi Natale, C., Macagnano, A., Davide, F., D'Amico, A., Paolesse, R., Boschi, T., Faccio, M., Ferri, G., Electronic nose for food analysis (1997) Sensors and Actuators, B: Chemical, B44, pp. 521-526; \n\nJames, D., Scott, S.M., Ali, Z., O'Hare, W.T., Chemical sensors for electronic nose systems (2005) Microchimica Acta., 149, pp. 1-17; \n\nHines, E.L., Llobet, E., Gardner, J.W., Electronic noses: A review of signal processing techniques (1999) IEE Proceedings: Circuits, Devices and Systems., 146, pp. 297-310; \n\nMartin, A., Mallikarjunan, K., Zoecklein, B.W., Discrimination of wines produced from Cabernet Sauvignon grapes treated with aqueous ethanol post-bloom using an electronic nose (2008) International Journal of Food Engineering, 4, p. 14; \n\nBrezmes, J., Llobet, E., Vilanova, X., Saiz, G., Correig, X., Fruit ripeness monitoring using an Electronic Nose (2000) Sensors and Actuators, B: Chemical., 69, pp. 223-229; \n\nEcheverria, G., Correa, E., Ruiz-Altisent, M., Graell, J., Puy, J., Lopez, L., Characterization of fuji apples from different harvest dates and storage conditions from measurements of volatiles by gas chromatography and electronic nose (2004) Journal of Agricultural and Food Chemistry., 52, pp. 3069-3076; \n\nSaevels, S., Lammertyn, J., Berna, A.Z., Veraverbeke, E.A., Di Natale, C., Nicolai, B.M., An electronic nose and a mass spectrometry-based electronic nose for assessing apple quality during shelf life (2004) Postharvest Biology and Technology., 31, pp. 9-19; \n\nVikram, A., Prithiviraj, B., Hamzehzarghani, H., Kushalappa, A., Volatile metabolite profiling to discriminate diseases of McIntosh apple inoculated with fungal pathogens (2004) Journal of the Science of Food and Agriculture., 84, pp. 1333-1340; \n\nPathange, L.P., Mallikarjunan, P., Marini, R.P., O'Keefe, S., Vaughan, D., Non-destructive evaluation of apple maturity using an electronic nose system (2006) Journal of Food Engineering., 77, pp. 1018-1023; \n\nDefoer, N., De Bo, I., Van Langenhove, H., Dewulf, J., Van Elst, T., Gas chromatography-mass spectrometry as a tool for estimating odour concentrations of biofilter effluents at aerobic composting and rendering plants (2002) Journal of Chromatography A., 970, pp. 259-273; \n\nDi Natale, C., Macagnano, A., Martinelli, E., Paolesse, R., Proietti, E., D'Amico, A., The evaluation of quality of post-harvest oranges and apples by means of an electronic nose (2001) Sensors and Actuators, B: Chemical., 78, pp. 26-31; \n\nBerna, A.Z., Lammertryn, J., Saevels, S., Di Natale, C., Nicolai, B.M., Electronic nose systems to study shelf life and cultivar effect on tomato aroma profile (2004) Sensors and Actuators, B: Chemical., 97, pp. 324-333; \n\nLlobet, E., Hines, E.L., Gardner, J.W., Franco, S., Non-destructive banana ripeness determination using a neural network-based electronic nose (1999) Measurement Science and Technology., 10, pp. 538-548; \n\nOshita, S., Shima, K., Haruta, T., Seo, Y., Kawagoe, Y., Nakayama, S., Takahara, H., Discrimination of odors emanating from 'La France' pear by semi-conducting polymer sensors (2000) Computers and Geotechnics., 26, pp. 209-216; \n\nBrezmes, J., Llobet, E., Vilanova, X., Orts, J., Saiz, G., Correig, X., Correlation between electronic nose signals and fruit quality indicators on shelf-life measurements with pinklady apples (2001) Sensors and Actuators, B: Chemical., 80, pp. 41-50; \n\nDi Natale, C., Macagnano, A., Martinelli, E., Proietti, E., Paolesse, R., Castellari, L., Campani, S., D'Amico, A., Electronic nose based investigation of the sensorial properties of peaches and nectarines (2001) Sensors and Actuators, B: Chemical., 77, pp. 561-566; \n\nBoilot, P., Hines, E.L., Gongora, M.A., Folland, R.S., Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions (2003) Sensors and Actuators, B: Chemical., 88, pp. 80-88; \n\nCiosek, P., Brzozka, Z., Wroblewski, W., Martinelli, E., Di Natale, C., D'Amico, A., Direct and two-stage data analysis procedures based on PCA, PLS-DA and ANN for ISE-based electronic tongue-Effect of supervised feature extraction (2005) Talanta., 67, pp. 590-596; \n\nLi, C., Heinemann, P.H., Irudayaraj, J., Detection of apple deterioration using an electronic nose and zNose [trademark] (2007) Transactions of the ASABE., 50, pp. 1417-1425; \n\nXiao-bo, Z., Jiewen, Z., Shou-yi, W., The study of gas sensor array signal processing with new genetic algorithms (2002) Sensors and Actuators B: Chemical., 87, pp. 437-441; \n\nInfante, R., Martinez-Gomez, P., Predieri, S., Quality oriented fruit breeding: Peach [Prunus persica (L.) Batsch] (2008) Journal of Food Agriculture & Environment., 6, pp. 342-356; \n\nFernandes, D.L.A., Oliveira, J.A.B.P., Gomes, M.T.S.R., Detecting spoiled fruit in the house of the future (2008) Analytica Chimica Acta., 617, pp. 171-176; \n\nZou, X.B., Zhao, J.W., Apple quality assessment by fusion three sensors (2005) 2005 Ieee Sensors, 1-2, pp. 389-392; \n\nZou, X.B., Zhao, H.W., Comparative analyses of apple aroma by a tin-oxide gas sensor array device and GC/MS (2008) Food Chemistry., 107, pp. 120-128; \n\nZou, X., Zhao, J., Electronic nose preprocessing and its application (2006) Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery., 37, pp. 83-86; \n\nZou, X.B., Wu, S.Y., Evaluating the quality of cigarettes by an electronic nose system (2002) Journal of Testing and Evaluation., 30, pp. 532-535; \n\nGomez, A.H., Wang, J., Hu, G.X., Pereira, A.G., Monitoring storage shelf life of tomato using electronic nose technique (2008) Journal of Food Engineering., 85, pp. 625-631; \n\nCozzolino, D., Smyth, H.E., Cynkar, W., Janik, L., Dambergs, R.G., Gishen, M., Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine (2008) Analytica Chimica Acta., 621, pp. 2-7; \n\nBenedetti, S., Buratti, S., Spinardi, A., Mannino, S., Mignani, E., Electronic nose as a non-destructive tool to characterise peach cultivars and to monitor their ripening stage during shelf-life (2008) Postharvest Biology and Technology., 47, pp. 181-188; \n\nLi, C., Heinemann, P.H., Irudayaraj, J., Detection of apple deterioration using an electronic nose and zNose (TM) (2007) Transactions of the Asabe., 50, pp. 1417-1425; \n\nHernandez Gomez, A., Wang, J., Hu, G., Garcia Pereira, A., Discrimination of storage shelf-life for mandarin by electronic nose technique (2007) LWT-Food Science and Technology., 40, pp. 681-689; \n\nCosta, G., Noferini, M., Fiori, G., Spinelli, F., Innovative application of non-destructive techniques for fruit quality and disease diagnosi (2007) Proceedings of the 6th International Symposium on Kiwifruit, 1-2, pp. 275-281; \n\nGomez, A.H., Wang, J., Hu, G.X., Pereira, A.G., Electronic nose technique potential monitoring mandarin maturity (2006) Sensors and Actuators B-Chemical., 113, pp. 347-353; \n\nMarrazzo, W.N., Heinemann, P.H., Crassweller, R.E., LeBlanc, E., Electronic nose chemical sensor feasibility study for the differentiation of apple cultivars (2005) Transactions of the Asae., 48, pp. 1995-2002; \n\nBrezmes, J., Fructuoso, M.L.L., Llobet, E., Vilanova, X., Recasens, I., Orts, J., Saiz, G., Correig, X., Evaluation of an electronic nose to assess fruit ripeness (2005) IEEE Sensors Journal., 5, pp. 97-108; \n\nBerna, A.Z., Lammertyn, J., Saevels, S., Di Natale, C., Nicolai, B.M., Electronic nose systems to study shelf life and cultivar effect on tomato aroma profile (2004) Sensors and Actuators B-Chemical., 97, pp. 324-333; \n\nGomez, A.H., Wang, J., Hu, G., Pereira, A.G., Monitoring storage shelf life of tomato using electronic nose technique (2008) Journal of Food Engineering., 85, pp. 625-631; \n\nParpinello, G.P., Fabbri, A., Domenichelli, S., Mesisca, V., Cavicchi, L., Versari, A., Discrimination of apricot cultivars by gas multisensor array using an artificial neural network (2007) Biosystems Engineering., 97, pp. 371-378; \n\nGomez, A.H., Wang, J., Hu, G., Pereira, A.G., Electronic nose technique potential monitoring mandarin maturity (2006) Sensors and Actuators, B: Chemical., 113, pp. 347-353; \n\nHerrmann, U., Jonischkeit, T., Bargon, J., Hahn, U., Li, Q.-Y., Schalley, C.A., Vogel, E., Vogtle, F., Monitoring apple flavor by use of quartz microbalances (2002) Analytical and Bioanalytical Chemistry., 372, pp. 611-614; \n\nDi Natale, C., Martinelli, E., D'Amico, A., Counteraction of environmental disturbances of electronic nose data by independent component analysis (2002) Sensors and Actuators, B: Chemical., 82, pp. 158-165; \n\nSteinmetz, V., Sevila, F., Bellon-Maurel, V., A Methodology for Sensor Fusion Design: Application to Fruit Quality Assessment (1999) Journal of Agricultural Engineering Research., 74, pp. 21-31; \n\nBoilot, P., Hines, E.L., Gongora, M.A., Folland, R.S., Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions (2003) Sensors and Actuators B: Chemical., 88, pp. 80-88; \n\nRasori, A., Bertolasi, B., Furini, A., Bonghi, C., Tonutti, P., Ramina, A., Functional analysis of peach ACC oxidase promoters in transgenic tomato and in ripening peach fruit (2003) Plant Science., 165, pp. 523-530; \n\nCozzolino, D., Smyth, H.E., Cynkar, W., Dambergs, R.G., Gishen, M., Usefulness of chemometrics and mass spectrometry-based electronic nose to classify Australian white wines by their varietal origin (2005) Talanta., 68, pp. 382-387; \n\nReid, L.M., O'Donnell, C.P., Downey, G., Recent technological advances for the determination of food authenticity (2006) Trends in Food Science & Technology., 17, pp. 344-353; \n\nRuiz-Altisent, M., Lleo, L., Riquelme, F., Instrumental quality assessment of peaches: Fusion of optical and mechanical parameters (2006) Journal of Food Engineering., 74, pp. 490-499; \n\nSeregely, Z., Farkas, J., Tuboly, E., Dalmadi, I., Investigating the properties of egg white pasteurised by ultra-high hydrostatic pressure and gamma irradiation by evaluating their NIR spectra and chemosensor array sensor signal responses using different methods of qualitative analysis (2006) Chemometrics and Intelligent Laboratory Systems., 82, pp. 115-121; \n\nSinelli, N., Benedetti, S., Bottega, G., Riva, M., Buratti, S., Evaluation of the optimal cooking time of rice by using FT-NIR spectroscopy and an electronic nose (2006) Journal of Cereal Science., 44, pp. 137-143; \n\nBerrueta, L.A., Alonso-Salces, R.M., Heberger, K., Supervised pattern recognition in food analysis (2007) Journal of Chromatography A., 1158, pp. 196-214; \n\nBaltazar, A., Aranda, J.I., Gonzalez-Aguilar, G., Bayesian classification of ripening stages of tomato fruit using acoustic impact and colorimeter sensor data (2008) Computers and Electronics in Agriculture., 60, pp. 113-121; \n\nLiu, F., He, Y., Wang, L., Determination of effective wavelengths for discrimination of fruit vinegars using near infrared spectroscopy and multivariate analysis (2008) Analytica Chimica Acta., 615, pp. 10-17", "hasCitationDuplums" : false, "userChangeableUntil" : "2018-09-25T15:29:40.000+0000", "publishDate" : "2014-07-22T08:02:02.000+0000", "directInstitutesForSort" : "", "ownerAuthorCount" : 2, "ownerInstituteCount" : 20, "directInstituteCount" : 0, "authorCount" : 3, "contributorCount" : 0, "book" : { "otype" : "Book", "mtid" : 30162293, "link" : "/api/publication/30162293", "label" : "Apples: Nutrition, Consumption and Health. 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