NIRS as a tool for precision horticulture in the citrus industry

Near-infrared spectroscopy was applied for non-destructively monitoring the soluble solids content of citrus fruit on trees. The model was built on refractometer readings and NIR spectra from outdoor measurements of fruit corrected for the ambient light conditions. The model was not significantly influenced by the variations in fruit temperature. The results showed that a high precipitation rate had a severe impact on the fruit quality. The average development of the cultivar-specific harvest date was used as a reference to calculate the relative harvest date of individual fruit indicating how non-destructive sensors could be integrated within the framework of precision horticulture.

[1]  W. M. Miller,et al.  NIR-BASED SENSING TO MEASURE SOLUBLE SOLIDS CONTENT OF FLORIDA CITRUS , 2004 .

[2]  Won Suk Lee,et al.  Color Vision System for Estimating Citrus Yield in Real-time , 2004 .

[3]  D. Lamb,et al.  Characterising and mapping vineyard canopy using high-spatial-resolution aerial multispectral images , 2003 .

[4]  Véronique Bellón,et al.  Feasibility and Performances of a New, Multiplexed, Fast and Low-Cost Fiber-Optic NIR Spectrometer for the On-Line Measurement of Sugar in Fruits , 1993 .

[5]  S. Roberto,et al.  Geostical analysis of spatial dynamics of Citrus Variegated Chlorossis , 2002 .

[6]  P. Williams,et al.  Near-Infrared Technology in the Agricultural and Food Industries , 1987 .

[7]  J. Qiao,et al.  Mapping Yield and Quality using the Mobile Fruit Grading Robot , 2005 .

[8]  J. Roger,et al.  Robustness of Models Based on NIR Spectra for Sugar Content Prediction in Apples , 2003 .

[9]  Pictiaw Chen,et al.  Light Transmittance through a Region of an Intact Fruit , 1980 .

[10]  A K Smilde,et al.  Influence of temperature on vibrational spectra and consequences for the predictive ability of multivariate models. , 1998, Analytical chemistry.

[11]  S. Kawano,et al.  Development of a Calibration Equation with Temperature Compensation for Determining the Brix Value in Intact Peaches , 1995 .

[12]  M. Zude.  Comparison of indices and multivariate models to non-destructively predict the fruit chlorophyll by means of visible spectrometry in apple fruit , 2003 .

[13]  K. Miyamoto,et al.  Non-Destructive Determination of Sugar Content in Satsuma Mandarin Fruit by near Infrared Transmittance Spectroscopy , 1995 .

[14]  J. Roger,et al.  Non-destructive tests on the prediction of apple fruit flesh firmness and soluble solids content on tree and in shelf life , 2006 .

[15]  Manuela Zude.  Non-destructive prediction of banana fruit quality using VIS/NIR spectroscopy , 2003 .

[16]  K. Walsh,et al.  A remote acceptance probe and illumination configuration for spectral assessment of internal attributes of intact fruit , 2000 .

[17]  K. Walsh,et al.  Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids content , 2006 .

[18]  D. Lamb,et al.  Optical remote sensing applications in viticulture - a review , 2002 .

[19]  Sumio Kawano,et al.  Non-Destructive NIR Quality Evaluation of Fruits and Vegetables in Japan , 1994 .

[20]  Won Suk Lee,et al.  Precision Agriculture in Citrus: A Probit Model Analysis for Technology Adoption , 2004 .

[21]  Ingo Truppel,et al.  Spectral Measurements on ‘Elstar’ Apples during Fruit Development on the Tree , 2005 .

[22]  D. C. Williams,et al.  REMOTE SENSING OF VINEYARD MANAGEMENT ZONES: IMPLICATIONS FOR WINE QUALITY , 2001 .