Abstract: Protein content is a basic and important quality indicator for rice and important for its overall quality during harvesting. Hyperspectral imaging technology(HSI)which is a fast and nondestructive detection technology was used to evaluate the rice (with chaff)protein content and quality. Partial least squares regression(PLSR) was used to build a calibration model (calibration coefficient= 0.992, root mean square error of calibration = 0.697%), across-validation model (cross-validation coefficient= 0.993, root mean square error of cross-validation = 0.624%) and a predictive model (prediction coefficient= 0.970, root mean square error of prediction = 1.03%). The characteristic wavelengths...............
Keywords: Hyperspectral imaging, Rice, Protein content, Partial least squares regression, Characteristic wavelength selection
[1]. Maraseni, Tek Narayan, et al. "An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production." Journal of Cleaner Production 172 (2018): 2288-2300. https://doi.org/10.1016/j.jclepro.2017.11.182
[2]. Sompong, R., et al. "Physicochemical and antioxidative properties of red and black rice varieties from Thailand, China and Sri Lanka." Food chemistry 124.1 (2011): 132-140. https://doi.org/10.1016/j.foodchem.2010.05.115
[3]. Lin, Kai, et al. "The arsenic contamination of rice in Guangdong Province, the most economically dynamic provinces of China: arsenic speciation and its potential health risk." Environmental geochemistry and health 37.2 (2015): 353-361. DOI 10.1007/s10653-014-9652-1
[4]. Naito, Shigehiro, et al. "Effects of polishing, cooking, and storing on total arsenic and arsenic species concentrations in rice cultivated in Japan." Food chemistry 168 (2015): 294-301. https://doi.org/10.1016/j.foodchem.2014.07.060
[5]. Wattanasiritham, Ladda, et al. "Isolation and identification of antioxidant peptides from enzymatically hydrolyzed rice bran protein." Food chemistry 192 (2016): 156-162. https://doi.org/10.1016/j.foodchem.2015.06.057