基于高光谱成像技术与CARS算法的玉米种子含水率检测 下载: 606次
王超鹏, 黄文倩, 樊书祥, 张保华, 刘宸, 王晓彬, 陈立平. 基于高光谱成像技术与CARS算法的玉米种子含水率检测[J]. 激光与光电子学进展, 2016, 53(12): 123001.
Wang Chaopeng, Huang Wenqian, Fan Shuxiang, Zhang Baohua, Liu Chen, Wang Xiaobin, Chen Liping. Moisture Content Detection of Maize Kernels Based on Hyperspectral Imaging Technology and CARS[J]. Laser & Optoelectronics Progress, 2016, 53(12): 123001.
[1] 方英杰. 高水分玉米的检测方法[J]. 现代食品, 2015, 23: 65-67.
Fang Yingjie. Detection method of high moisture corn[J]. Modern Food, 2015, 23: 65-67.
[2] 盖颜欣, 王艳芝, 季志强, 等. 玉米种子水分变化及烘干对芽率的影响[J]. 中国种业, 2010, 5: 33-34.
Gai Yanxin, Wang Yanzhi, Ji Zhiqiang, et al. The effect of moisture content and drying rate of maize seed[J]. China Seed Industry, 2010, 5: 33-34.
[3] 贾 婉, 毛培胜. 近红外光谱技术在种子质量检测方面的研究进展[J]. 种子, 2013, 32(11): 46-51.
Jia Wan, Mao Peisheng. Review on thenear infrared spectroscopy in seed quality testing research[J]. Seed, 2013, 32(11): 46-51.
[4] 曹鹏飞, 李宏宁, 罗艳琳, 等. 基于多光谱成像选取四季豆叶片的特征波段[J]. 激光与光电子学进展, 2014, 51(1): 011101.
[5] Zhang B, Huang W, Li J, et al. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review[J]. Food Research International, 2014, 62: 326-343.
[6] Wu D, Shi H, Wang S, et al. Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system[J]. Analytica Chimica Acta, 2012, 726(9): 57-66.
[7] 邓小琴, 朱启兵, 黄 敏. 融合光谱、纹理及形态特征的水稻种子品种高光谱图像单粒鉴别[J]. 激光与光电子学进展, 2015, 52(2): 021001.
[8] 何 勇, 彭继宇, 刘 飞, 等. 基于光谱和成像技术的作物养分生理信息快速检测研究进展[J]. 农业工程学报, 2015, 31(3): 174-189.
He Yong, Peng Jiyu, Liu Fei, et al. Critical review of fast detection of crop nutrient and physiological information with spectral and imaging technology[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(3): 174-189.
[9] 吴龙国, 何建国, 刘贵珊, 等. 基于近红外高光谱成像技术的长枣含水量无损检测[J]. 光电子·激光, 2014, 25(1): 135-140.
Wu Longguo, He Jianguo, Liu Guishan, et al. Non-destructived determination of moisture in jujubes based on near-infrared hyperspectral imaging technique[J]. Journal of Optoelectronics·Laser, 2014, 25(1): 135-140.
[10] 樊书祥, 黄文倩, 郭志明, 等. 苹果产地差异对可溶性固形物近红外光谱检测模型影响的研究[J]. 分析化学, 2015, 43(2): 239-244.
Fan Shuxiang, Huang Wenqian, Guo Zhiming, et al. Assessment of influence of origin variability on robustness of near infrared models for soluble solid content of apples[J]. Chinese Journal of Analytical Chemistry, 2015, 43(2): 239-244.
[11] 刘燕德, 施 宇, 蔡丽君, 等. 基于CARS算法的脐橙可溶性固形物近红外在线检测[J]. 农业机械学报, 2013, 44(9): 138-144.
Liu Yande, Shi Yu, Cai Lijun, et al. On-line NIR detection model optimization of soluble solids content in navel orange based on CARS[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(9): 138-144.
[12] 韩东海, 常 冬, 宋曙辉, 等. 小型西瓜品质近红外无损检测的光谱信息采集[J]. 农业机械学报, 2013, 44(7): 174-178.
Han Donghai, Chang Dong, Song Shuhui, et al. Information collection of mini watermelon quality using near-infrared non-destructive detection[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(7): 174-178.
[13] 孙 通, 吴宜青, 李晓珍, 等. 基于近红外光谱和子窗口重排分析的山茶油掺假检测[J]. 光学学报, 2015, 35(6): 0630005.
王超鹏, 黄文倩, 樊书祥, 张保华, 刘宸, 王晓彬, 陈立平. 基于高光谱成像技术与CARS算法的玉米种子含水率检测[J]. 激光与光电子学进展, 2016, 53(12): 123001. Wang Chaopeng, Huang Wenqian, Fan Shuxiang, Zhang Baohua, Liu Chen, Wang Xiaobin, Chen Liping. Moisture Content Detection of Maize Kernels Based on Hyperspectral Imaging Technology and CARS[J]. Laser & Optoelectronics Progress, 2016, 53(12): 123001.