基于图像的金桔重量预测方法研究

Multiple Weight Prediction Methods Based on Kumquat Image

为提高金桔重量检测的智能化程度,基于图像进行金桔重量预测研究。在自主构建的图像采集系统试验平台上采集600张金桔图像,基于图像使用Python语言结合OpenCV计算机视觉库编程求解金桔果实大小像素值,根据实际重量数据使用最小二乘法、线性法、多项式法等进行数据拟合,构建基于金桔图像的重量预测模型。试验结果表明,基于金桔图像构建数学模型对金桔的重量进行预测具有一定地可行性和科学研究价值,其中线性法的预测模型方程为y=7.27×10^(-6)_(x)+23.032,多项式法的预测模型方程为y=1.199×10^(-15)x^(3)-1.082×10^(-9)x^(2)+3.053×10^(-4)x-2.773,最小二乘法的预测模型方程为y=2.564×10^(-8) x(-9.688×10^(-6) x^(2)+2531870.247)。

To improve the intelligent degree of kumquat weight detection,this paper studied the weight prediction based on kumquat image and proposed a new intelligent weight prediction method.We collected 600 kumquat images on the self-built image acquisition system test platform and used Python language in combination with OpenCV computer vision library to solve the size of kumquat based on the image.According to the actual weight data,we used least square method,linear method,polynomial method and other methods to fit the data,and constructed the weight prediction model based on kumquat image.The experimental results showed that it was feasible and had certain scientific research value to build a mathematical model based on kumquat image to predict the weight of kumquat.The prediction model equation of the linear method was y=7.27×10-6x+23.032,the prediction model equation of polynomial method was y=1.199×10^(-15)x^(3)-1.082×10^(-9)x^(2)+3.053×10^(-4)x-2.773,and the prediction model equation of the least square method was y=2.564×10^(-8) x(-9.688×10^(-6) x^(2)+2531870.247).