Abstract:

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^-15x³-1.082×10^-9x²+3.053×10^-4x-2.773, and the prediction model equation of the least square method was y = 2 . 564 \times {10}^{-8} \sqrt{x} ( - 9 . 688 \times {10}^{-6} x^2 + 2531870 . 247 ).

Key words: kumquat, image, weight, prediction, model