Time series based method for classification of plug seedlings

Abstract

In order to solve the problem that the mechanized transplanting of potted seedlings in greenhouse can not realize automation and abandon unqualified potted seedlings, and improve the economic benefits of greenhouse, In this paper, a classification method of glug seedlings based on time series image is proposed, and the seedling stages of plug seedlings are experimentally analyzed. The experimental results show that, compared with the classification method of plug seedlings based on pixel area, the classification method of plug seedlings based on time series can obtain the growth information of plug seedlings in the whole growth stage, and classify plug seedlings quickly and accurately according to the growth situation of plug seedlings. The accuracy of the method based on time series is about 5% higher than that based on pixel area, which can provide a technical basis for automatic screening and transplanting of plug seedlings in agricultural automatic production.