基于机器视觉和人工神经网络的切花玫瑰瓶插寿命预测  

Prediction of Vase Life of Cut Roses Based on Machine Vision and Artificial Neural Network

作　　者：翟超男 张海东[1] 王孟[1] 邢志中 郭小军[1] 陈腾[1] 

机构地区：[1]云南农业大学机电工程学院,昆明650201

出　　处：《湖北农业科学》2017年第8期1564-1566,1569,共4页Hubei Agricultural Sciences

摘　　要：对切花玫瑰瓶插寿命进行预测,利用机器视觉提取颜色和形状特征参数共15个,并结合人工神经网络ANN建立预测模型。该预测模型的输入层、隐含层和输出层的神经元数分别为15、15和1,训练集相关系数R^2=0.939 4,训练集均方根误差RMSEC=0.784 9;其预测集相关系数R^2=0.850 7,预测均方根误差RMSEP=1.205 1。结果表明,机器视觉结合人工神经网络能够较准确地预测切花玫瑰的瓶插寿命。In order to predict rose vase life of cut flowerwe, using machine vision to extract color and shape feature parameters,a total of 15,and combined with artificial neural network ANN prediction model was established. The ANN model consisted of 15,15, and 1 neurons in the input,hidden,and output layers. The ANN model using the validated data showed a good predictability between the predicted and observed values（R2=0.850 7, RMSEP=-1.205 1）, similar to using the trained data （R2=0.9394, RMSEC=0.7849）. The results showed that the ANN model based on machine vision can predict the vase life of cut roses accurately.

关 键 词：机器视觉 人工神经网络 切花玫瑰 瓶插寿命 

分 类 号：S126[农业科学—农业基础科学]