Robustness of near infrared spectroscopy based spectral features for non-destructive bitter pit detection in honeycrisp apples
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Lav R. Khot | Si Yongsheng | Karen Lewis | Gopi Krishna Kafle | Sanaz Jarolmasjed | L. Khot | Karen Lewis | Sanaz Jarolmasjed | G. K. Kafle | Si Yongsheng
[1] J. Woolley. Reflectance and transmittance of light by leaves. , 1971, Plant physiology.
[2] L. Segerlind,et al. Near-Infrared Reflectance of Bruised Apples , 1974 .
[3] K. Scott,et al. Prediction of bitter pit with calcium content of apple fruit , 1976 .
[4] E. Simon. THE SYMPTOMS OF CALCIUM DEFICIENCY IN PLANTS , 1978 .
[5] I. Ferguson,et al. Calcium analysis and the prediction of bitter pit in apple fruit , 1979 .
[6] J. A. Throop,et al. SPECTROPHOTOMETRIC STUDY OF BRUISES ON WHOLE, 'RED DELICIOUS' APPLES , 1990 .
[7] D. Burmeister,et al. PREDICTION OF BITTER PIT ON APPLES USING Mg2+ SALT INFILTRATION TO INDUCE BITTER PIT-LIKE SYMPTOMS. , 1993 .
[8] D. Slaughter. Nondestructive Determination of Internal Quality in Peaches and Nectarines , 1995 .
[9] D. Slaughter,et al. Nondestructive Determination of Soluble Solids in Tomatoes using Near Infrared Spectroscopy , 1996 .
[10] M. Saure. Reassessment of the Role of Calcium in Development of Bitter Pit in Apple , 1996 .
[11] S. Kawano,et al. Firmness, dry-matter and soluble-solids assessment of postharvest kiwifruit by NIR spectroscopy , 1998 .
[12] J. Wooldridge. Bitter Pit in apples. Effect of physical and chemical soil factors , 1999 .
[13] Jorge B. Retamales,et al. Bitter pit prediction in apples through Mg infiltration , 2000 .
[14] J. Retamales,et al. Control strategies for different bitter pit incidences in Braeburn apples. , 2000 .
[15] R. Lu,et al. DETECTION OF BRUISES ON APPLES USING NEAR – INFRARED HYPERSPECTRAL IMAGING , 2003 .
[16] Vincent Leemans,et al. Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting , 2003 .
[17] Sumio Kawano,et al. Prediction of ripe-stage eating quality of mango fruit from its harvest quality measured nondestructively by near infrared spectroscopy , 2004 .
[18] C. Watkins,et al. Controlling Bitter Pit in `Honeycrisp' Apples , 2004 .
[19] E. Lotze. Pre-harvest determination of bitter pit potential in apples , 2005 .
[20] Annia García Pereira,et al. Non-destructive measurement of acidity, soluble solids and firmness of Satsuma mandarin using Vis/NIR-spectroscopy techniques , 2006 .
[21] Bart Nicolai,et al. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging , 2006 .
[22] Bim Prasad Shrestha,et al. Integrating multispectral reflectance and fluorescence imaging for defect detection on apples , 2006 .
[23] Josse De Baerdemaeker,et al. Bruise detection on 'Golden Delicious' apples by vis/NIR spectroscopy , 2006 .
[24] Josse De Baerdemaeker,et al. Fresh bruise detection by predicting softening index of apple tissue using VIS/NIR spectroscopy , 2007 .
[25] M. Gasparoto,et al. Detection of mechanical and disease stresses in citrus plants by fluorescence spectroscopy. , 2008, Applied optics.
[26] J. Qin,et al. Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence , 2009 .
[27] F. J. Pierce,et al. The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars , 2009 .
[28] Reza Ehsani,et al. Mid-infrared spectroscopy for detection of Huanglongbing (greening) in citrus leaves. , 2010, Talanta.
[29] Joe Mari Maja,et al. Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards , 2011 .
[30] Reza Ehsani,et al. Visible-near infrared spectroscopy based citrus greening detection: Evaluation of spectral feature extraction techniques , 2011 .
[31] Shintaroh Ohashi,et al. Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy , 2011 .
[32] Wei Guo,et al. A simple identification model for subtle bruises on the fresh jujube based on NIR spectroscopy , 2013, Math. Comput. Model..
[33] Sérgio Tonetto de Freitas,et al. Fruit sampling methods to quantify calcium and magnesium contents to predict bitter pit development in ‘Fuji’ apple: A multivariate approach , 2013 .
[34] Reza Ehsani,et al. Oil palm leaf nutrient estimation by optical sensing techniques , 2014 .
[35] Lav R. Khot,et al. Postharvest bitter pit detection and progression evaluation in ‘Honeycrisp’ apples using computed tomography images , 2016 .
[36] Lav R. Khot,et al. Towards precision spray applications to prevent rain-induced sweet cherry cracking: Understanding calcium washout due to rain and fruit cracking susceptibility , 2016 .