Abu-Khalaf, N., and Hmidat, M. (2020
). Visible/Near Infrared (VIS/NIR) spectroscopy as an optical sensor for evaluating olive oil quality. Computers and Electronics in Agriculture. 173: 105445.
https://doi.org/10.1016/j.compag.2020.105445.
Aghaei Saadi, M., Minaei, S., Jamshidi, B. and Abdullahian Nougabi, M. (2021
). Non-destructive measurement of sugar beet grade by combining near infrared spectroscopy (NIR) with chemometric methods. Biosystem Engineering of Iran. 1(49): 9-18. (In Persian).
https://doi.org/10.22059/IJBSE.2017.208413.664785.
Aparatana, K., Ishikawa, D., Maraphum, K., Saengprachatanarug, K., Agarie, H., Shikanai, T., and Taira, E. (2022).
Non-destructive Laboratory Analysis of the Detection of Unhealthy Sugarcane Stalks Using a Portable Vis-NIR Spectrometer. Engineering in Agriculture, Environment and Food. 15(2): 72-80.
https://doi.org/10.37221/eaef.15.2_72.
Bagherpour, H., Mohammadi, M. (2016).
Determining the humidity and Brix degree of carrots using near-infrared spectroscopy. Biosystem Engineering Journal of Iran. 1(48): 1-7. (In Persian).
https://doi.org/10.22059/IJBSE.2017.61555.
Blackburn, F. (1950). Sugar cane (translated by Mohammad Reza Rahdar). Shahid Chamran University of Ahvaz: 660pp. (In Persian).
Chen, W., Li, H., Zhang, F., Xiao, W., Zhang, R., Chen, Z., and Du, Y. (2021).
Handheld short-wavelength NIR spectroscopy for rapid determination of sugars and carbohydrate in fresh juice with sampling error profile analysis. Infrared Physics & Technology. 115: 103732.
https://doi.org/10.1016/j.infrared.2021.103732.
Cortés, V., Blasco, J., Aleixos, N., Cubero, S., and Talens, P. (2019).
Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review. Trends in Food Science & Technology. 85: 138-148.
https://doi.org/10.1016/j.tifs.2019.01.015.
De Whalley, H. C. S. (Ed.). (2013). ICUMSA methods of sugar analysis: official and tentative methods recommended by the International Commission for Uniform Methods of sugar analysis (ICUMSA). Elsevier.
Fan, S., Li, J., Xia, Y., Tian, X., Guo, Z., and Huang, W. (2019).
Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method. Postharvest Biology and Technology. 151: 79-87.
https://doi.org/10.1016/j.postharvbio.2019.02.001.
Forozani, B., Bagherpour, H. and Zabli, Kh. (2019).
Detection of protein content and moisture content of wheat grains using non-destructive near-infrared (NIR) method. 11th National Congress of Biosystem Mechanical Engineering and Mechanization. Iran. Hamedan. (In Persian).
https://doi.org/10.52547/fsct.17.99.45.
Golic, M., Walsh, K., and Lawson, P. (2003).
Short-wavelength near-infrared spectra of sucrose, glucose, and fructose with respect to sugar concentration and temperature. Applied spectroscopy. 57(2): 139-145.
https://doi.org/10.1366/000370203321535033.
Hadiwijaya, Y., Putri, I. E., and Munawar, A. A. (2021).
Multi-product calibration model for soluble solids and water content quantification in Cucurbitaceae family, using visible/near-infrared spectroscopy. Heliyon. 7(8).
https://doi.org/10.1016/j.heliyon.2021.e07677.
Iweka, P., Kawamura, S., Mitani, T., Kawaguchi, T., and Koseki, S. (2020).
Online milk quality assessment during milking using near-infrared spectroscopic sensing system. Environmental Control in Biology. 58(1): 1-6.
https://doi.org/10.2525/ecb.58.1.
Kim, G. Y., Lee, K. J., Choi, K. H., Son, J. R., Choi, D. S., and Kang, S. W. (2004).
Defect and ripeness inspection of citrus using NIR transmission spectrum. Key engineering materials. 270: 1008-1013.
https://doi.org/10.4028/www.scientific.net/KEM.270273.100.
Lan, W., Bureau, S., Chen, S., Leca, A., Renard, C. M., and Jaillais, B. (2021).
Visible, near-and mid-infrared spectroscopy coupled with an innovative chemometric strategy to control apple puree quality. Food Control. 120: 107546.
https://doi.org/10.1016/j.foodcont.2020.107546.
Li, J., Wang, Q., Xu, L., Tian, X., Xia, Y. and Fan, S. (2019).
Comparison and optimization of models for determination of sugar content in pear by portable Vis-NIR spectroscopy coupled with wavelength selection algorithm. Food Analytical Methods. 12(1): 12-22.
https://doi.org/10.1007/s12161-018-1326-7.
Madsen, L. R., White, B. E., Rein, P. W., Madsen, L. R., White, B. E., and Rein, P. W. (2003). Evaluation of a near infrared spectrometer for the direct analysis of sugar cane. Journal American Society of Sugarcane Technologists, 23(80), e92.
Maraphum, K., Saengprachatanarug, K., Wongpichet, S., Phuphaphud, A., and Posom, J. (2020).
In-field measurement of starch content of cassava tubers using handheld vis-near infrared spectroscopy implemented for breeding programmes. Computers and Electronics in Agriculture. 175: 105607.
https://doi.org/10.1016/j.compag.2020.105607.
Meade, G. P., and Chen, J. C. P. (1977). Cane sugar handbook: a manual for cane sugar manufacturers and their chemists. John Wiley and Sons.
Naderi-Boldaji, M., Tohidi, M., and Ghasemi-Varnamkhasti, M. (2023).
Evaluation of dielectric spectroscopy in fusion with Vis-SWNIR spectroscopy for measurement of sugar concentration on sugarcane stalk samples. Journal of Agricultural Aachinery. (In Persian).
https://doi.org/10.22067/JAM.2023.80620.1144.
Nawi, N. M., Chen, G., Jensen, T., and Mehdizadeh, S. A. (2013).
Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared. Biosystems Engineering. 115(2): 154-161.
https://doi.org/10.1016/j.biosystemseng.2013.03.005.
O'Shea, M. G., Staunton, S. P., and Burleigh, M. (2010). Implementation of on-line near infrared (NIR) technologies for the analysis of cane, bagasse and raw sugar in sugar factories to improve performance.
Phuphaphud, A., Saengprachatanarug, K., Posom, J., Maraphum, K. and Taira, E. (2020).
Nondestructive and rapid measurement of sugar content in growing cane stalks for breeding programs using visible-near infrared spectroscopy. Biosystems Engineering. 197: 76-90.
https://doi.org/10.1016/j.biosystemseng.2020.06.012.
Posom, J., Klaprachan, J., Rattanasopa, K., Sirisomboon, P., Saengprachatanarug, K., and Wongpichet, S. (2020).
Predicting marian plum fruit quality without environmental condition impact by handheld visible–near-infrared spectroscopy. ACS omega. 5(43): 27909-27921.
https://doi.org/10.1021/acsomega.0c03203.
Rady, A., and Guyer, D. (2015).
Utilization of visible/near-infrared spectroscopic and wavelength selection methods in sugar prediction and potatoes classification. Journal of Food Measurement and Characterization. 9: 20-34.
https://doi.org/10.1007/s11694-014-9207-2.
Shushtri, M. Ahmadian, S. Asafia, Q. (2008). Sugarcane in Iran. Ayij: 337pp. (In Persian).
Simeone, M. L. F., Parrella, R. A., Schaffert, R. E., Damasceno, C. M., Leal, M. C., and Pasquini, C. (2017).
Near infrared spectroscopy determination of sucrose, glucose and fructose in sweet sorghum juice. Microchemical Journal. 134: 125-130.
https://doi.org/10.1016/j.microc.2017.05.020.
Soleimani Sodehi, M. (2014). The roadmap for the transformation of the supply chain of the Iranian sugar industry. Commercial Print and Publications: 210 pp. (In Persian).
Tewari, J. C. and Malik, K. (2007). In situ laboratory analysis of sucrose in sugarcane bagasse using attenuated total reflectance spectroscopy and chemometrics. Food Science and Technology. 42: 200-207.
https://doi.org/10.1111/j.1365-2621.2006.01209.x.
Wang, J., Wang, J., Chen, Z., and Han, D. (2017).
Development of multi-cultivar models for predicting the soluble solid content and firmness of European pear (Pyrus communis L.) using portable vis–NIR spectroscopy. Postharvest Biology and Technology. 129: 143-151.
https://doi.org/10.1016/j.postharvbio.2017.03.012.
Williams, P. C., and Norris, K. (2001). Variables affecting near-infrared spectroscopic analysis. Near-infrared technology in the agricultural and food industries. 2: 171-198.
Xia, Y., Fan, S., Li, J., Tian, X., Huang, W., and Chen, L. (2020).
Optimization and comparison of models for prediction of soluble solids content in apple by online Vis/NIR transmission coupled with diameter correction method.
Chemometrics and Intelligent Laboratory Systems. 201: 104017.
https://doi.org/10.1016/j.chemolab.2020.104017.
Zhang, H., Duan, Z., Li, Y., Zhao, G., Zhu, S., Fu, W., and Hu, J. (2019).
Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels. Royal Society open science. 6(10): 191132.
https://doi.org/10.1098/rsos.191132.
Zhang, H., Zhan, B., Pan, F., and Luo, W. (2020).
Determination of soluble solids content in oranges using visible and near infrared full transmittance hyperspectral imaging with comparative analysis of models. Postharvest Biology and Technology. 163: 111148.
https://doi.org/10.1016/j.postharvbio.2020.111148.