In situ quality assessment of intact oil palm fresh fruit bunches using rapid portable non-contact and non-destructive approach

[1]  H. Kaiser The Application of Electronic Computers to Factor Analysis , 1960 .

[2]  W. Brown An Introduction to Organic Chemistry , 1975 .

[3]  I. Adamson,et al.  Chlorophyll and carotenoid changes in ripening palm fruit, Elaeis guineënsis , 1984 .

[4]  J. Henderson,et al.  Lipase activity in ripening and mature fruit of the oil palm. Stability in vivo and in vitro , 1991 .

[5]  S. Jinap,et al.  Quantitative analysis of palm carotene using fourier transform infrared and near infrared spectroscopy , 1999 .

[6]  Tormod Næs,et al.  Understanding the collinearity problem in regression and discriminant analysis , 2001 .

[7]  Yibin Ying,et al.  Comparison of diffuse reflectance and transmission mode of visible-near infrared spectroscopy for detecting brown heart of pear , 2007 .

[8]  K. Richard,et al.  Adsorption of Palm Oil Carotene and Free Fatty Acids onto Acid Activated Cameroonian Clays , 2007 .

[9]  Zhengjun Qiu,et al.  Visible/near infrared spectrometric technique for nondestructive assessment of tomato ‘Heatwave’ (Lycopersicum esculentum) quality characteristics , 2007 .

[10]  Kerry B. Walsh,et al.  Prediction of mango eating quality at harvest using short-wave near infrared spectrometry , 2007 .

[11]  L. Gonçalves,et al.  Correlation between free fatty acids of vegetable oils evaluated by rapid tests and by the official method , 2007 .

[12]  Yande Liu,et al.  Nondestructive determination of pear internal quality indices by visible and near-infrared spectrometry , 2008 .

[13]  Ernestina Casiraghi,et al.  Evaluation of quality and nutraceutical content of blueberries (Vaccinium corymbosum L.) by near and mid-infrared spectroscopy , 2008 .

[14]  Md. Nasir Sulaiman,et al.  Development of Image Based Modeling for Determination of Oil Content and Days Estimation for Harvesting of Fresh Fruit Bunches , 2009 .

[15]  D. Ahmad,et al.  Determination of the bruise indexes of oil palm fruits. , 2009 .

[16]  Dolores Pérez-Marín,et al.  Miniature handheld NIR sensor for the on-site non-destructive assessment of post-harvest quality and refrigerated storage behavior in plums , 2010 .

[17]  Majid Sarmad,et al.  Vis/NIR spectroscopy and chemometrics for the prediction of soluble solids content and acidity (pH) of kiwifruit , 2010 .

[18]  Da-Wen Sun,et al.  Emerging non-contact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams: a review , 2010 .

[19]  Shintaroh Ohashi,et al.  Comparison of different modes of visible and near-infrared spectroscopy for detecting internal insect infestation in jujubes , 2010 .

[20]  Karen I. Theron,et al.  Robust prediction models for quality parameters in Japanese plums (Prunus salicina L.) using NIR spectroscopy. , 2010 .

[21]  D. Ahmad,et al.  The effect of surface color on palm oil quality during the ripening process of fresh fruits. , 2011 .

[22]  Z. May,et al.  Automated ripeness assessment of oil palm fruit using RGB and fuzzy logic technique , 2011 .

[23]  Takayuki Kojima,et al.  Nondestructive estimation of maturity and textural properties on tomato ‘Momotaro’ by near infrared spectroscopy , 2012 .

[24]  Paul J.R. Cronje,et al.  Prediction of ‘Nules Clementine’ mandarin susceptibility to rind breakdown disorder using Vis/NIR spectroscopy , 2012 .

[25]  R. Leardi,et al.  Prediction of the optimum harvest time of ‘Scarlet’ apples using DR-UV–Vis and NIR spectroscopy , 2012 .

[26]  Reza Ehsani,et al.  Classification of oil palm fresh fruit bunches based on their maturity using portable four-band sensor system , 2012 .

[27]  Peeyush Soni,et al.  Towards Sustainable Green Production: Exploring Automated Grading for Oil Palm Fresh Fruit Bunches (FFB) Using Machine Vision and Spectral Analysis , 2013 .

[28]  Peeyush Soni,et al.  Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision , 2013 .

[29]  I. Jolliffe Principal Component Analysis , 2005 .