Abstract: A method for judging tomato maturity using image processing technology is proposed. The tomato fruit images collected in the experimental greenhouse were converted into RGB color models, and the thresholds were manually divided and the fruit coordinates were extracted. Based on the variance of the original image pixels and the artificial component thresholds, the four stages of the tomato ripening process were distinguished for the purpose of developing tomato maturity. The discrimination equipment provides a reference.