Aleixos, N., Blasco, J., Navarrón, F., & Moltó, E. (2002). Multispectral inspection of citrus in real-time using machine vision and digital signal processors. Computers and Electronics in Agriculture, 33, 121–137.
Alferéz, F., Agustí, M., & Zacarìas, L. (2003). Postharvest rind staining in ‘Navel’ oranges is aggravated by changes in storage relative humidity: effect on respiration, ethylene production and water potential. Postharvest Biology and Technology, 28, 143–152.
Alferéz, F., & Burns, J. (2004). Postharvest peel pitting at non-chilling temperatures in grapefruit is promoted by changes from low to high relative humidity during storage. Postharvest Biology and Technology, 32, 79–87.
Antonucci, F., Pallottino, F., Paglia, G., Palma, A., D’Aquino, S., & Menesatti, P. (2010). Non-destructive estimation of mandarin maturity status through portable VIS-NIR spectrophotometer. Food and Bioprocess Technology, 3
Balasundaram, D., Burks, T. F., Bulanon, D. M., Schubert, T., & Lee, W. S. (2009). Spectral reflectance characteristics of citrus canker and other peel condition of grapefruit. Postharvest Biology and Technology, 51, 220–226.
Blanco, M., & Villarroya, I. (2002). NIR spectroscopy: a rapid-response analytical tool. Trends in Analytical Chemistry, 21, 240–250.
Blasco, J., Aleixos, N., & Moltó, E. (2007). Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm. Journal of Food Engineering, 81, 535–543.
Blasco, J., Aleixos, N., Gómez, J., & Moltó, E. (2007). Citrus sorting by identification of the most common defects using multispectral computer vision. Journal of Food Engineering, 83, 384–393.
Blasco, J., Aleixos, N., Gómez-Sanchís, J., & Moltó, E. (2009). Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features. Biosystems Engineering, 10, 137–145.
Bobelyn, E., Serban, A., Nicu, M., Lammertyn, J., Nicolaï, B. M., & Saeys, W. (2010). Postharvest quality of apple predicted by NIR-spectroscopy: study of the effect of biological variability on spectra and model performance. Postharvest Biology and Technology, 55, 133–143.
Bulanon, D. M., Burks, T. F., & Alchanatis. (2010). A multispectral imaging analysis for enhancing citrus fruit detection. Environmental Control and Biology, 48(2), 81–91.
Butz, P., Hofmann, C., & Tauscher, B. (2005). Recent developments in non-invasive techniques for fresh fruit and vegetable internal quality analysis. Concise Reviews in Food Science, 70, 131–141.
Camps, C., & Christen, D. (2009). Non-destructive assessment of apricot fruit quality by portable visible-near infrared spectroscopy. Food Science and Technology, 42, 1125–1131.
Carlini, P., Massantini, R., & Mencarelli, F. (1999). Wavelength selection methods for PLS-based vis–NIR evaluation of SSC in fresh fruits. In: Proceedings of the NIR’99, 9th International Conference on Near-Infrared Spectroscopy, Verona, Italy, 13–18 June 1999.
Carlini, P., Massantini, R., & Mencarelli, F. (2000). Vis–NIR measurement of soluble solids in cherry and apricot by PLS regression and wavelength selection. Journal of Agricultural and Food Chemistry, 48, 5236–5242.
Cayuela, J. A. (2008). Vis–NIR soluble solids prediction in intact oranges (Citrus sinensis L.) cv. Valencia Late by reflectance. Postharvest Biology and Technology, 47, 75–80.
Cayuela, J. S., & Weiland, C. (2010). Intact orange quality prediction with two portable NIR spectrometers. Postharvest Biology and Technology, 58, 113–120.
Cen, H., He, Y., & Huang, M. (2006). Measurements of soluble solids contents and pH in orange juice using chemometrics and Vis–NIRS. Journal of Agricultural Food Chemistry, 54, 7437–7443.
Cen, H., Bao, Y., He, Y., & Sun, D.-W. (2007). Visible and near infrared spectroscopy for rapid detection of citric and tartaric acids in orange juice. Journal of Food Engineering, 82, 253–260.
Centner, V., Massart, D. L., de Noord, O. E., de Jong, S., Vandeginste, M. B., & Sterna, C. (1996). Elimination of uninformative variables for multivariate calibration. Analytical Chemistry, 68, 3851–3858.
Clark, C. J., McGlone, V. A., DeSilva, H. N., Manning, M. A., Burdon, J., & Mowat, A. D. (2004). Prediction of storage disorders of kiwifruit (Actanidia cinensis) based on visible-NIR spectral characteristics at harvest. Postharvest Biology and Technology, 32, 147–158.
Cronje, P.J.R. (2005). Peteca spot of lemons. South African Fruit Journal (Feb/March issue) 26–28
Cronje, P.J.R. (2009). Postharvest rind breakdown of ‘Nules Clementine’ mandarins (Citrus reticulate Blanco) fruit. Ph.D. thesis, Department of Horticultural Science, University of Stellenbosch, Stellenbosch, South Africa.
Cubero, S., Aleixos, N., Moltó, E., Gómez-Sanchis, J., & Blasco, J. (2010). Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables. Food and Bioprocess Technology
De Jong, S. (1993). PLS fits closer than PCR. Journal of Chemometrics, 7, 551–557.
Dull, G. G., & Birth, G. S. (1989). Nondestructive evaluation of fruit quality: use of near infrared spectrophotometry to measure soluble solids in intact honeydew melons. HortScience, 24, 754.
Dull, G., Birth, G., & Leffler, R. (1989). Use of near infrared analysis for the non-destructive measurement of dry matter in potatoes. American Potato Journal, 66, 215–225.
Dull, G. G., Birth, G. S., Smittle, D. A., & Leffler, R. G. (1989). Near infrared analysis of soluble solids of intact cantaloupe. Journal of Food Science, 54, 393–395.
Fercher, A. F., Drexler, W., Hitzenberger, C. K., & Lasser, T. (2003). Optical coherence tomography—principles and applications. Reports on Progress in Physics, 66, 239–303.
Fraser, D. G., Künnemeyer, R., McGlone, V. A., & Jordan, R. B. (2001). Letter to the editor. Postharvest Biology and Technology, 22, 191–195.
Fraser, D. G., Jordan, R. B., Künnemeyer, R., & McGlone, V. A. (2003). Light distribution inside mandarin fruit during internal quality assessment by NIR spectroscopy. Postharvest Biology and Technology, 27, 185–196.
Fu, X., Ying, Y., Lu, H., & Xu, X. (2007). Comparison of diffuse reflectance and transmission mode of visible-near infrared spectroscopy for detecting brown heart of pear. Journal of Food Engineering, 83, 317–323.
Gaffney, J. J. (1973). Reflectance properties of citrus fruit. Transactions of the American Society of Agricultural Engineers, 16(2), 310–314.
Geeola, F., Geeola, F., & Peiper, U. M. (1994). A spectrophotometric method for detecting surface bruises on ‘Golden Delicious’ apples. Journal of Agricultural Engineering Research, 58, 47–51.
Golic, M., Walsh, K. B., & Lawson, P. (2003). Short-wavelength near-infrared spectra of sucrose, glucose, and fructose with respect to sugar concentration and temperature. Applied spectroscopy, 57, 139–145.
Golic, M., & Walsh, K. B. (2006). Robustness of calibration medels based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids contents. Analytica Chimica Acta, 555, 286–291.
Gómez, A. H., He, Y., & Pereira, A. G. (2006). Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using vis–NIR spectroscopy techniques. Journal of Food Engineering, 77, 313–319.
Gómez-Sanchis, J., Gómez-Chova, L., Aleixos, N., Camps-Valls, G., Montesinos-Herrero, C., Moltó, E., et al. (2008). Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins. Journal of Food Engineering, 89(1), 80–86.
Gowen, A. A., O’Donnell, C. P., Cullen, P. J., Downey, G., & Frias, J. M. (2007). Hyperspectral imaging-an emerging process analytical tool for food quality and safety control. Trends in Food Science and Technology, 18, 590–598.
Greensill, C. V., & Walsh, K. B. (2002). Calibration transfer between miniature photodiode array-based spectrometers in the near infrared assessment of mandarin soluble solids content. Journal of Near Infrared Spectroscopy, 10, 27–35.
Guthrie, J., & Walsh, K. (1997). Non-invasive assessment of pineapple and mango fruit quality using near infrared spectroscopy. Australian Journal of Experimental Agriculture, 37, 253–263.
Guthrie, J. A., Wedding, B., & Walsh, K. B. (1998). Robustness of NIR calibrations for soluble solids in intact melon and pineapple. Journal of Near Infrared Spectroscopy, 6, 259–265.
Guthrie, J. A., Walsh, K. B., Reid, D. J., & Liebenberg, C. J. (2005). Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development. Australian Journal of Agricultural Research, 56, 405–416.
Guthrie, J. A., Reid, D. J., & Walsh, K. B. (2005). Assessment of internal quality attributes of mandarin fruit. 2. NIR calibration model robustness. Australian Journal of Agricultural Research, 56, 417–426.
Guthrie, J. A., Liebenberg, C. J., & Walsh, K. B. (2006). NIR model development and robustness in prediction of melon fruit total soluble solids. Australian Journal of Agricultural Research, 57, 1–8.
Hebden, J. C., Gibson, A., Yusof, R. M., Everdell, N., Hillman, E. M. C., Delpy, D. T., et al. (2002). Three-dimensional optical tomography of the premature infant brain. Physics in Medicine and Biology, 47, 4155–4166.
Huang, D., Swanson, E. A., Lin, C. P., Schuman, J. S., Stinson, W. G., Chang, W., et al. (1991). Optical coherence tomography. Science, 254, 1178–1181.
Huang, H., Yu, H., Xu, H., & Ying, Y. (2008). Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: a review. Journal of Food Engineering, 87, 303–313.
Kader, A. A. (2002). Opportunities in using biotechnology to maintain postharvest quality and safety of fresh produce. HortScience, 37, 24–25.
Kawano, S., Fujiwara, T., & Iwamoto, M. (1993). Non-destructive determination of sugar content in ‘Satsuma’ mandarins using NIRS transmittance. Journal of the Japanese Society for Horticultural Science, 62, 465–470.
Kemsely, E. K., Tapp, H. S., Binns, R., Mackin, R. O., & Peyton, A. J. (2008). Feasibility study of NIR diffuse optical tomography on agricultural produce. Postharvest Biology and Technology, 48, 223–230.
Kim, J., Mowat, A., Poole, P., & Kasabov, N. (2000). Linear and non-linear pattern recognition models for classification of fruit from visible–near infrared spectra. Chemometrics and Intelligent Laboratory Systems, 51, 201–216.
Krivoshiev, G. P., Chalucova, R. P., & Moukarev, M. I. (2000). A possibility for elimination of the interference from the peel in nondestructive determination of the internal quality of fruit and vegetables by vis–NIR spectroscopy. Lebensm-Wiss University of technology, 33, 344–353.
Kutis, I. S., Sapozhnikova, V. V., Kuranov, R. V., & Kamenskii, V. A. (2005). Study of the morphological and functional state of higher plant tissues by optical coherence microscopy and optical coherence tomography. Russian Journal of Plant Physiology, 52, 559–564.
Lammertyn, J., Peirs, J., De Baerdemaeker, J., & Nicolaï, B. M. (2000). Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment. Postharvest Biology and Technology, 18, 121–132.
Lammertyn, J., Dressalaers, T., Van Hecke, P., Jancsók, P., Wevers, M., & Nicolaï, B. M. (2003). MRI and X-ray CT study of spatial distribution of core breakdown in ‘Conference’ pears. Magnetic Resonance Imaging, 21(7), 805–815.
Lammertyn, J., Dresselaers, T., Van Hecke, P., Jancsók, P., Wevers, M., & Nicolaï, B. M. (2003). Analysis of the time course of core breakdown in ‘Conference’ pears by means of MRI and X-ray CT. Postharvest Biology and Technology, 29, 19–28.
Leonardi, L., & Burns, D. H. (1999). Quantitative multiwavelength consistuent measurements using single-wavelength photo time-of-flight correction. Applied Spectroscopy, 53, 637–646.
Liu, Y., Sun, X., & Ouyang, A. (2010). Non-destructive measurements of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLS and PCA-BPNN. LWT-Food Science and Technology, 43, 602–607.
Liu, Y., Sun, X., Zhang, H., & Aiguo, O. (2010). Nondestructive measurement of internal quality of Nanfeng mandarin fruit by charge coupled device near infrared spectroscopy. Computers and Electronics in Agriculture, 71(S1), S10–S14.
López-García, F., Andreu-García, A., Blasco, J., Aleixos, N., & Valiente, J. M. (2010). Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach. Computers and Electronics in Agriculture, 71, 189–197.
Louw, E. D., & Theron, K. I. (2010). Robust prediction models for quality parameters in Japanese plums (Prunus salicina L.) using NIR spectroscopy. Postharvest Biology and Technology, 58, 176–184.
Lovász, T., Merész, P., & Salgó, A. (1994). Application of near infrared transmission spectroscopy for the determination of some quality parameters of apples. Journal of Near Infrared Spectroscopy, 2, 213–221.
Lu, Q., Gan, X., Gu, M., & Luo, Q. (2004). Monte Carlo modelling of optical coherence tomography imaging through turbid media. Applied Optics, 43, 1628–1637.
Lu, H., Xu, H., Ying, Y., Fu, X., Yu, H., & Tian, H. (2006). Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits. Journal of Zhejiang University Scence, 7, 794–799.
Magwaza, L.S., Opara, U.L., Nieuwoudt, H., & Cronje, P. (2011). Non-destructive quality assessment of ‘Valencia’ orange using FT-NIR spectroscopy. In: Proceedings of the NIR 2011, 15th International Conference on Near-Infrared Spectroscopy, Cape Town, South Africa, 13–20 May 2011.
McClure, W. F. (2003). Review: 204 years of near infrared technology: 1800–2003. Journal of Near Infrared spectroscopy, 11, 487–518.
McGlone, V. A., & Kawano, S. (1998). Firmness, dry-matter and soluble solids assessment of postharvest kiwifruit by NIR spectroscopy. Postharvest Biology and Technology, 13, 131–141.
McGlone, V. A., Jordan, R. B., & Martinsen, P. J. (2002). Vis-NIR estimation at harvest of pre- and post-storage quality indices for ‘Royal Gala’ apple. Postharvest Biology and Technology, 25, 135–144.
McGlone, V. A., Fraser, D. G., Jordan, R. B., & Kunnemeyer, R. (2003). Internal quality assessment of mandarin fruit by vis–NIR spectroscopy. Journal of Near Infrared Spectroscopy, 11, 323–332.
Meglinski, I. V., Buranachai, C., & Terry, L. A. (2010). Plant photonics: application of optical tomography to monitor defects and rots in onion. Laser Physics Letters
Mehl, P. M., Chen, Y.-R., Kim, M. S., & Chan, D. E. (2004). Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations. Journal of Food Engineering, 61, 67–81.
Menesatti, P., Antonucci, F., Pallottino, F., Rocuzzo, G., Allegra, M., Stagno, F., et al. (2010). Estimation of plant nutritional status by vis–NIR spectroscopic analysis on orange leaves [Citrus sinensis (L.) Osbeck cv Tarocco]. Biosystems Engineering, 105, 448–454.
Miller, B. K., & Delwiche, M. J. (1991). Spectral analysis of peach surface defects. Transactions of the American Society for Agricultural Engineering, 34, 2509–2515.
Miller, W. M., & Zude, M. (2002). Non-destructive brix sensing of Florida grapefruit and honey tangerines. Proceedings of the Florida state Horticultural society, 115, 56–60.
Miyamoto, K., & Kitano, Y. (1995). Non-destructive determination of sugar content in Satsuma mandarin fruit by near infrared transmittance spectroscopy. Journal of Near Infrared Spectroscopy, 3, 227–237.
Miyamoto, K., Kawauchi, M., & Fukuda, T. (1998). Classification of high acid fruits by PLS using the near infrared transmittance spectra of intact Satsuma mandarins. Journal of Near Infrared Spectroscopy, 6(1–4), 267–271.
Moon, D. G., & Mizutani, F. (2002). Relationship between fruit shape acid content in different parts of citrus fruits. Journal of the Japanese Society for Horticultural Science, 71, 56–58.
Nicolaï, B. M., Lötze, E., Peirs, A., Scheerlinck, N., & Theron, K. I. (2006). Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging. Postharvest Biology and Technology, 40, 1–6.
Nicolaï, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, I. K., et al. (2007). Non-destructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biology and Technology, 46, 99–118.
Nicolaï, B. M., Theron, K. I., & Lammertyn, J. (2007). Kernel PLS regression on wavelet transformed NIR spectra for prediction of sugar content of apple. Chemometrics and Intelligent Laboratory Systems, 85, 243–252.
Nicolaï, B. M., Verlinden, B. E., Desmet, M., Saevels, S., Saeys, W., Theron, K., et al. (2008). Time-resolved and continuous wave NIR reflectance spectroscopy to predict soluble solids content and firmness of pear. Postharvest Biology and Technology, 47, 68–74.
Nicolaï, B. M., Bulens, I., De Baerdemaker, J., De Ketelaere, B., Hertog, M. L. A. T. M., Verboven, P., et al. (2009). Non-destructive evaluation: detection of external and internal attributes frequently associated with quality and damage. In D. Florkowiski (Ed.), Postharvest Handling: A Systems Approach (pp. 421–442). Amsterdam: Academic Press, Elsevier.
Nørgaard, L., Saudland, A., Wagner, J., Nielsen, J. P., Munck, L., & Engelsen, S. B. (2000). Interval partial least-square (iPLS): a comparative chemometric study with an example from near infrared spectroscopy. Applied Spectroscopy, 54, 413–419.
Norris, K. H., & Hart, J. R. (1965). Direct spectrophotometric determination of moisture content of grain and seeds. In Humidity and moisture, vol 4. Principles and methods of measuring moisture in liquids and solids. New York: Reinhold.
Osborne, S. D., Jordan, R. B., & Kunnemeyer, R. (1997). Method of wavelength selection for partial least squares. Analyst, 122, 1531–1537.
Osborne, S. D., Kunnemeyer, R., & Jordan, R. B. (1999). A low-cost system for the grading of kiwifruit. Journal of Near Infrared Spectroscopy, 7, 9–15.
Osborne, B. G. (2000). Near infrared spectroscopy in food analysis (pp. 1–14). Australia: BRI Australia Ltd.
Ou, A. S., Lin, S., Lin, T., Wu, S., & Tiarn, M. (1997). Studies on the determination of quality-related constituents in ‘Ponkan’ mandarin by near infrared spectroscopy. Journal of the Chinese Agricultural Chemical Society, 35, 462–474.
Pallav, P., Diamond, G. G., Hutchins, D. A., Green, R. J., & Gan, T. J. (2009). A near infrared (NIR) technique for imaging food materials. Journal of Food Science, 74, 23–33.
Palmer, K. F., & Williams, D. (1974). Optical properties of water in the near infrared. Journal of the Optical Society of America, 64, 1107–1110.
Peirera, A. F. C., Pontes, M. J. C., Neto, F. F. G., Santos, S. R. B., Galvaõ, R. K. H., & Araújo, M. C. U. (2008). NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection. Food Research International, 41, 341–348.
Peiris, K. H. S., Dull, G. G., Leffler, R. G., & Kays, S. J. (1998a). Near-infrared spectrometric method for nondestructive determination of soluble solids content of peaches. American society for Horticultural Science, 123, 898–905.
Peiris, K. H. S., Dull, G. G., Leffler, R. G., & Kays, S. J. (1998b). Near-infrared (NIR) spectrometric technique for non-destructive determination of soluble solids content in processing tomatoes. American society for Horticultural Science, 123, 1089–1093.
Peiris, K. H. S., Dull, G. G., & Leffler, R. G. (1998c). Nondestructive detection of selection drying, an internal disorder in tangerine. HortScience, 33, 310–312.
Peiris, K. H. S., Dull, G. G., Leffler, R. G., & Kays, S. J. (1999). 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. HortScience, 34, 114–118.
Peirs, A., Tirry, J., Verlinden, B., Darius, P., & Nicolaï, B. M. (2002). Effect of biological variability on the robustness of NIR-models for soluble solids content of apples. Postharvest Biology and Technology, 28, 269–280.
Peirs, A., Scheerlinck, N., & Nicolaï, B. M. (2003). Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids contents. Postharvest Biology and Technology, 30, 233–248.
Qin, J., Burks, T. F., Kim, M. S., Chao, K., & Ritenour, M. A. (2008). Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method. Sensory and Instrumental Food Quality, 2, 168–177.
Qin, J., Burks, T. F., Ritenour, M. A., & Bonn, W. G. (2009). Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence. Journal of Food Engineering, 93, 183–191.
Saiz-Abajo, M. J., Mevick, B.-H., Segtnan, V. H., & Naes, T. (2005). Ensemble methods and data augmentation by noise addition applied to the analysis of spectroscopic data. Analytica Chimica Acta, 533, 147–159.
Sapozhnikova, V. V., Kamenskii, V. A., & Kuranov, R. V. (2003). Visualization of plant tissues by optical coherence tomography. Russian Journal of Plant Physiology, 50, 282–286.
Sapozhnikova, V. V., Kamensky, V. A., Kuranov, R. V., Kutis, I., Snopova, L. B., & Myakov, A. V. (2004). In vivo visualization of Tradescantia leaf tissue and monitoring the physiological and morphological states under different water supply conditions using optical coherence tomography. Planta, 219, 601–609.
Schaare, P. N., & Fraser, D. G. (2000). Comparison of reflectance and transmission modes of visible-near infrared spectroscopy for measuring internal properties of kiwifruit (Actinidia chinensis). Postharvest Biology and Technology, 20, 175–184.
Smith, L. G. (1984). Pineapple sepcifiuc gravity as an index of eating quality. Tropical Agriculture (Trinidad), 61, 196–199.
Spreen, T.H. (2009). Projections of world production and consumption of citrus to 2010. China/FAO citrus symposium. Food and Agricultural Organisation of the United nations. http://www.fao.org/docrep/003/x6732e/x6732e02.htm
Steuer, B., Schulz, H., & Läger, E. (2001). Classification and analysis of citrus oils by NIR spectroscopy. Food Chemistry, 72, 113–117.
Sun, X., Zhang, H., & Liu, Y. (2009). Nondestructive assessment of quality of ‘Nanfeng’ mandarin fruit by a portable near infrared spectroscopy. International Journal of Agricultural and Biological Engineering, 2, 65–71.
Tewari, J. C., Dixit, V., Chi, B.-K., & Malik, K. A. (2008). Determination of origin and sugars of citrus fruit using genetic algorithm, correspondence analysis and partial least square combined with fiber optic NIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 71, 1119–1127.
Tomlins, P. H., & Wang, R. K. W. (2005). Theory, developments and applications of optical coherence tomography. Journal of Physics. D: Applied Physics, 38, 2519–2535.
Tsuchikawa, S., Sakai, E., Inoue, K., & Miyamoto, K. (2003). Application of time-of-flight near-infrared spectroscopy to detect sugar and acid content in Satsuma mandarin. Journal of the American Society for Horticultural Science, 128, 391–396.
Walsh, K. B., Guthrie, J. A., & Burney, J. W. (2000). Application of commercially available, low cost, miniaturised NIR spectrometers to the assessment of the sugar content of intact fruit. Australian Journal of Plant Physiology, 27, 1175–1186.
Walsh, K.B. (2005). Commercial adoption of technologies for fruit grading, with emphasis on NIRS. Information and technology for sustainable fruit and vegetable production, FRUTIC 05, Montpellier, France, 12–16 September 2005
Wang, W., & Paliwal, J. (2007). Near-infrared spectroscopy and imaging in food quality and safety. Sensory and Instrumental Food Chemistry, 1, 193–207.
Wetzel, D. L. (1983). Near infrared reflectance analysis: sleeper among spectroscopic techniques. Analytical Chemistry, 55, 1165–1176.
Williams, P. C., & Norris, K. H. (1987). Qualitative applications of near-infrared reflectance spectroscopy. In P. C. Williams & K. H. Norris (Eds.), Near-infrared technology in the agricultural and food industries (pp. 241–246). St. Paul: American Association of Cereal Chemistry.
Williams, P., & Norris, K. H. (2001). Variable affecting near infrared spectroscopic analysis. In P. Williams & K. H. Norris (Eds.), Near infrared technology in the agriculture and food industries (2nd ed., pp. 171–185). St Paul: The American Association of Cereal Chemists.
Wold, S., Sjostrom, M., & Eriksson, L. (2001). PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58, 109–130.
Xia, J., Li, X., Li, P., Ma, Q., & Ding, X. (2007). Application of wavelet transform in the prediction of ‘Navel’ orange vitamin C content by near-infrared spectroscopy. Agricultural Sciences in China, 6(9), 1067–1073.
Xing, J., Landahl, S., Lammertyn, J., Vrindts, E., & De Baerdemaeker, J. (2003). Effects of bruise type on discrimination of bruised and nonbruised ‘Golden Delicious’ apples by vis–NIR spectroscopy. Postharvest Biology and Technology, 30, 249–258.
Xing, J., Bravo, C., Jancsó, P. T., Ramon, H., & De Baerdemaeker, J. (2005). Detecting bruises on ‘Golden Delicious’ apples using hyperspectral imaging with multiple wavebands. Biosystems Engineering, 90, 27–36.
Zhao, X., Burks, T. F., Qin, J., & Ritenour, M. A. (2010). Effect of fruit harvest time on citrus canker detection using hyperspectral reflectance imaging. Sensory and Instrumental Food Quality, 4, 126–135.
Zheng, Y., He, S., Yi, S., Zhou, Z., Mao, S., Zhao, X., et al. (2010). Predicting oleocellosis sensitivity in citrus using vis–NIR reflectance spectroscopy. Scientia Hoticulturae, 125, 401–405.
Zude, M., Pflanz, M., Kaprielian, C., & Aivazian, B. (2008). NIRS as a tool for precision horticulture in citrus industry. Biosystem Engineering, 99, 455–459.