现代农业科技Issue(13)：20-21,23,3.
近红外光谱技术在玉米种子活力检测中的应用研究
Application Study of Near Infrared Spectroscopy Technology in Maize Seed Vigor Detection
摘要
Abstract
In order to realize rapid nondestructive recognition of maize vigor,a maize vigor intelligent detection model was put forward by combining NIR and BP neural network.At first,test samples were aged into three grades by artificial aging,and near infrared spectroscopy of which was collected.The original data were prerated using statitics method of normalization in order to eliminate noise and improve the efficiency of models. Principal component analysis(PCA)was respectively used to extract spectral features which acted as the input of BP neural network and the model was constructed according to preprocessing and feature extraction.The results showed the accuracy rate of the model was 90.3% and its average identification time was 27.36 ms.This investigation provided the theoretical support and practical method for rapid nondestructive recognition of maize vigor.关键词
近红外光谱/玉米/种子活力/主成分分析/BP神经网络Key words
near infrared spectroscopy/maize/seed vigor/principal component analysis/BP neural network分类
农业科技引用本文复制引用
尹淑欣,杨冬风,汪秀志,高树仁,姜丽..近红外光谱技术在玉米种子活力检测中的应用研究[J].现代农业科技,2015,(13):20-21,23,3.基金项目
黑龙江省教育厅科学技术研究项目（1253148）。 （）
