基于光谱分析的温室黄瓜营养状态的研究  

Study of Monitoring the Greenhouse Cucumber Nutritional Status Based on Spectral Analysis

作　　者：赵国富[1] 张喜杰[1] 

机构地区：[1]山东理工大学网络信息中心,山东淄博255049

出　　处：《农机化研究》2013年第8期18-21,共4页Journal of Agricultural Mechanization Research

基　　金：国家"863计划"项目(2006AA10A302)

摘　　要：黄瓜在温室栽培面积中占有很大的比重,监测温室黄瓜营养状态非常重要。因此,利用光谱分析技术对叶片所含的化学成分进行测量,主要包括建模与预测两步,采用基于BP算法的人工神经网络和支持向量机进行光谱的定量分析,探索基于光谱分析的整株光谱判断温室黄瓜的营养状态。研究结果表明,基于BP算法的人工神经网络和支持向量机所建立的回归模型,在一定程度上提高了模型的自预测能力和实际预测能力。The monitoring of greenhouse cucumber nutrition status is very important account for a large proportion in the greenhouse area.It is contained modeling and prediction two-step by using spectral analysis to measure the chemical composition of leaves quantitative analysis of spectra is exercised by Artificial Neural Networks based on BP and support vector machine.The methods is probed in the Study of monitoring the greenhouse cucumber nutritional status based on canopy reflectance.The results showed regression model established based on BP algorithm artificial neural networks and support vector machine improved the self-predictive ability of the model and actual predictive ability to some extent.

关 键 词：温室 黄瓜 光谱分析 营养状态 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]