| 计算机视觉视域中水稻叶片叶绿素含量的数学建模 |
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| 引用本文： | 陈诚.计算机视觉视域中水稻叶片叶绿素含量的数学建模[J].湖南农业大学学报(自然科学版),2011,37(5):474-478. |
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| 作者姓名： | 陈诚 |
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| 作者单位： | 湖南农业大学农业信息研究所 |
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| 基金项目： | 国家自然科学基金（31071328），湖南省研究生科技创新基金项目（CX2010B280） |
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| 摘 要： | 利用计算机视觉技术获取水稻叶片的颜色指标DGCI、Hv、I2、I3、(2G-R-B)/L*和Hv*Diff,结合BP网络、多元回归模型和遗传算法,建立叶绿素相对含量(SPAD值)的预测模型,对叶片SPAD值进行数学模拟,模型的数学表达式为Y=purelin W5* tansig(W4*X,B4),B5].利用所建立的...
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| 关 键 词： | 计算机视觉 叶绿素相对含量 BP神经网络 多元回归 遗传算法 聚类分析 水稻 |
| 收稿时间： | 2011/2/23 0:00:00 |
| 修稿时间： | 2011/4/14 0:00:00 |
The mathematical modeling of chlorophyll content in ricein view of computer vision |
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| cheng chen.The mathematical modeling of chlorophyll content in ricein view of computer vision[J].Journal of Hunan Agricultural University,2011,37(5):474-478. |
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| Authors: | cheng chen |
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| Institution: | Agricultural Information Institute of Hunan Agricultural University |
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| Abstract: | DGCI, Hv, I2, I3, (2G-R-B)/L* and Hv*Diff, which are the color index of leaves, were acquired by using computer vision technology. Combining those indexes with BP network, multiple regression models and genetic algorithms, the predictive model for chlorophyll relative content was established The value of SPAD for leaves is simulated by mathematics, and the mathematical expressions of model is Y=purelinW5* tansig(W4* X, B4), B5]. Using the established model to predict the value of SPAD, relative error rate is 3.355 7 % between the results and measured data in field. |
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| Keywords: | Key words: computer vision chlorophyll relative content BP neural network multiple regressions genetic algorithm cluster analysis rice |
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