From lab to orchard use for models of hand-held NIRS instrument (2024)

research-article

Authors: Xudong Sun, Fulong Guo, Jiacheng Liu, Zhaoxing Chen, + 3, Waleed Fouad Abobatta, Muhammad Azher Nawaz, and Shaoran Feng (Less)

Published: 02 July 2024 Publication History

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    Highlights

    EPO was recommended for sunlight correction.

    Results support use of hand-held NIRS with varying sunlight.

    Results support use of hand-held NIRS estimation of optimal harvest date.

    Abstract

    The models for hand-held near infrared spectroscopy (NIRS) instrument calibrated in the laboratory are prone to failure during orchard application because of measurement conditions change especially on sunlight interference. The models transfer from lab to orchard for assessment of soluble solids content (SSC) of navel orange on tree was investigated with consideration of sunlight influence to the fruit spectra. Chemometrics methods of global model, external parameter orthogonalization (EPO) and generalized least square weighting (GLSW) were attempted to correct the influence of the sunlight. Comparison of global model, both EPO and GLSW improved the predictive ability of partial least square regression (PLSR) models. With few corrected samples requirement, EPO was recommended and validated in predicting the samples in the different harvest date and blocks. The best results of coefficient of determination (R2) of 0.73 and 0.90, root mean square error of prediction (RMSEP) 0.85 and 0.63 % and ratio of standard deviation (SD) to RMSEP of 1.94 and 3.27 in predicting the samples in days after full bloom (DAFB) 237 (block A) and 164 (block B) were obtained. The best model corrected by EPO method was also adopted to estimate the optimal harvest date with a good consistency with destructive analysis. The results suggested that EPO correction aided the model transfer from lab to orchard was feasible for assessment of SSC of navel orange on tree.

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    Information & Contributors

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    Published In

    From lab to orchard use for models of hand-held NIRS instrument (1)

    Computers and Electronics in Agriculture Volume 219, Issue C

    Apr 2024

    1160 pages

    ISSN:0168-1699

    Issue’s Table of Contents

    Elsevier B.V.

    Publisher

    Elsevier Science Publishers B. V.

    Netherlands

    Publication History

    Published: 02 July 2024

    Author Tags

    1. Soluble solids content
    2. External parameter orthogonalisation
    3. Navel orange
    4. Near infrared spectroscopy
    5. Ambient light

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