YOLO-VOLO-LS: A Novel Method for Variety Identification of Early Lettuce Seedlings.

ABSTRACT: Accurate identification of crop varieties is an important aspect of smart agriculture, which is not only essential for the management of later crop differences, but also has a significant effect on unmanned operations in planting scenarios such as facility greenhouses. In this study, five kinds of lettuce under the cultivation conditions of greenhouses were used as the research object, and a classification model of lettuce varieties with multiple growth stages was established. First of all, we used the-state-of-the-art method VOLO-D1 to establish a variety classification model for the 7 growth stages of the entire growth process. The results found that the performance of the lettuce variety classification model in the SP stage needs to be improved, but the classification effect of the mode

SUBMITTER: Zhang P 

PROVIDER: S-EPMC8909383 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature