郭恩有,刘木华,赵杰文,陈全胜.脐橙糖度的高光谱图像无损检测技术[J].农业机械学报,2008,39(5):91-93.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2008,39(5):91-93.
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脐橙糖度的高光谱图像无损检测技术   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  脐橙  糖度  高光谱图像  无损检测
基金项目:
郭恩有  刘木华  赵杰文  陈全胜
江西农业大学
中文摘要:提出了利用高光谱图像系统来检测脐橙糖度的方法。由脐橙反射光谱图像获取反映脐橙糖度的光谱特征波长;应用人工神经网络系统建立了脐橙糖度的预测模型。结果表明,脐橙糖度预测模型相关系数R为0.831,采用高光谱图像无损检测脐橙糖度是可行的。
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Abstract:

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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