共 35 条
- [1] RONG Dian, RAO Xiuqin, YING Yibin, Computer vision detection of surface defect on oranges by means of a sliding comparison window local segmentation algorithm, Computers and Electronics in Agriculture, 137, pp. 59-68, (2017)
- [2] CANAN I, GUNDOGDU M, SEDAY U, Et al., Determination of antioxidant, total phenolic, total carotenoid, lycopene, ascorbic acid, and sugar contents of Citrus species and mandarin hybrids, Turkish Journal of Agriculture and Forestry, 40, pp. 894-899, (2016)
- [3] MESQUITA E, MONTEIRO M., Simultaneous HPLC determination of flavonoids and phenolic acids profile in Pêra-Rio orange juice, Food Research International, 106, pp. 54-63, (2018)
- [4] SHAO Yuanyuan, XUAN Guantao, HU Zhichao, Et al., Determination of the bruise degree for cherry using Vis-NIR reflection spectroscopy coupled with multivariate analysis[J], PLoS ONE, 14, 9, (2019)
- [5] SUN Xudong, ZHU Ke, JIANG Xiaogang, Et al., Non-destructive detection of blackheart and soluble solids content of intact pear by online NIR spectroscopy, The Journal of Supercomputing, 76, 5, pp. 3173-3187, (2020)
- [6] LI Pao, ZHANG Xinxin, LI Shangke, Et al., A rapid and nondestructive approach for the classification of different-age citri reticulatae pericarpium using portable near infrared spectroscopy, Sensors, 20, 6, (2020)
- [7] NASAB S G, YAZD M J, MARINI F, Et al., Classification of honey applying high performance liquid chromatography, nearinfrared spectroscopy and chemometrics, Chemometrics and Intelligent Laboratory Systems, 202, (2020)
- [8] LI Pao, DU Guorong, CAI Wensheng, Et al., Rapid and nondestructive analysis of pharmaceutical products using near-infrared diffuse reflectance spectroscopy, Journal of Pharmaceutical and Biomedical Analysis, 70, pp. 288-294, (2012)
- [9] LU Qiang, LIAO Qiuhong, LIU Yanli, Et al., Feasibility of SSC prediction for navel orange based on origin recognition using NIR spectroscopy, Intelligent Automation & Soft Computing, 21, 3, pp. 305-317, (2015)
- [10] CAYUELA J A, WEILAND C., Intact orange qua lity prediction with two portable NIR spectrometers, Postharvest Biology and Technology, 58, 2, pp. 113-120, (2010)