Research on Color Evaluation Model of Tobacco Leaf Based on Machine Vision

With the tobacco industry entering a new era, the quality of tobacco leaves has entered a stage of high-quality development. It is necessary to put forward a scientific and technological proposition to better meet the needs of tobacco farmers to evaluate tobacco leaf color, focusing on adhering to the tobacco production idea centered on tobacco farmers. Based on the dynamic evolution of tobacco leaf color evaluation, a theoretical analysis framework of the tobacco leaf color evaluation model based on machine vision is constructed according to the inherent logic of machine vision, which can explain the tobacco leaf color evaluation model generated by the tobacco leaf color feature extraction mechanism involving tobacco leaf images and machine vision and the tobacco leaf color evaluation mechanism based on convolutional neural network, and continue to explore the tobacco leaf color evaluation model from the perspective of index optimization and practical deduction of tobacco leaf color evaluation. It is possible to achieve the goal of high-quality color evaluation. The purpose of tobacco leaf color evaluation is to provide tobacco farmers with information that meets the expected standards and is committed to continuously improving the quality of tobacco leaf color evaluation and improving the satisfaction of farmers. Therefore, it is necessary to strengthen the identification of tobacco leaf color based on the characteristics of tobacco leaf color, construct the mechanism of interaction and feedback between tobacco leaf color and machine vision quality perception, and establish the evaluation system of tobacco leaf color and principal component analysis, to realize the high-quality evaluation of tobacco leaf color, promote the improvement of tobacco leaf quality, and truly meet the tobacco farmers.