Review: NIR Spectroscopy as a Suitable Tool for the Investigation of the Horticultural Field

The last 10 years of knowledge on near infrared (NIR) applications in the horticultural field are summarized. NIR spectroscopy is considered one of the most suitable technologies of investigation worldwide used as a nondestructive approach to monitoring raw materials and products in several fields. There are different types of approaches that can be employed for the study of key issues for horticultural products. In this paper, an update of the information collected from the main specific International Journals and Symposia was reported. Many papers showed the use of NIR spectroscopy in the horticultural field, and the literature data were grouped per year, per product, and per application, such as studies of direct (chemical composition) and indirect (physical and sensorial) properties (P), process control (PC), and authenticity and classification studies (AC). A mention was made of a recent innovative approach that considers the contribution of water absorption in the study of biological systems.

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[80]  Kai Huang,et al.  Evaluation of moisture content in processed apple chips using NIRS and wavelength selection techniques , 2019, Infrared Physics & Technology.

[81]  Yukihiro Ozaki,et al.  A Feasibility Study on Non-Destructive Determination of Oil Content in Palm Fruits by Visible–Near Infrared Spectroscopy , 2012 .

[82]  Joachim Müller,et al.  Effect of irrigation on near-infrared (NIR) based prediction of mango maturity , 2010 .

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[85]  Influence of Sampling Component on Determination of Soluble Solids Content of Fuji Apple Using Near-Infrared Spectroscopy , 2017, Applied spectroscopy.

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[87]  S. Kasemsumran,et al.  Performance improvement of temperature compensation in near infrared analysis of orange sweetness by applying direct standardization , 2018, Journal of Near Infrared Spectroscopy.

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[90]  Jean-Michel Roger,et al.  Early detection of the fungal disease "apple scab" using SWIR hyperspectral imaging , 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

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[94]  S. Minaei,et al.  Rapid measurement of apple quality parameters using wavelet de-noising transform with Vis/NIR analysis , 2019, Scientia Horticulturae.

[95]  Yong He,et al.  SSC and pH for sweet assessment and maturity classification of harvested cherry fruit based on NIR hyperspectral imaging technology , 2018, Postharvest Biology and Technology.

[96]  T. Suwonsichon,et al.  Determination of sulfur dioxide content in osmotically dehydrated papaya and its classification by near infrared spectroscopy , 2018, Journal of Near Infrared Spectroscopy.

[97]  Nuria Aleixos,et al.  Application of near Infrared Spectroscopy to the Quality Control of Citrus Fruits and Mango , 2016 .

[98]  Catherine M.G.C. Renard,et al.  Comparison of NIR and MIR spectroscopic methods for determination of individual sugars, organic acids and carotenoids in passion fruit , 2014 .

[99]  Wenqian Huang,et al.  Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method , 2019, Postharvest Biology and Technology.

[100]  Jiangbo Li,et al.  Non-destructive prediction of soluble solids content of pear based on fruit surface feature classification and multivariate regression analysis , 2018, Infrared Physics & Technology.

[101]  M. Schmutzler,et al.  Automatic sample rotation for simultaneous determination of geographical origin and quality characteristics of apples based on near infrared spectroscopy (NIRS) , 2014 .

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[104]  Y. Allouche,et al.  Near Infrared Spectroscopy and Artificial Neural Network to Characterise Olive Fruit and Oil Online for Process Optimisation , 2015 .