Unsupervised monocular depth estimation with omnidirectional camera for 3D reconstruction of grape berries in the wild.

ABSTRACT: Japanese table grapes are quite expensive because their production is highly labor-intensive. In particular, grape berry pruning is a labor-intensive task performed to produce grapes with desirable characteristics. Because it is considered difficult to master, it is desirable to assist new entrants by using information technology to show the recommended berries to cut. In this research, we aim to build a system that identifies which grape berries should be removed during the pruning process. To realize this, the 3D positions of individual grape berries need to be estimated. Our environmental restriction is that bunches hang from trellises at a height of about 1.6 meters in the grape orchards outside. It is hard to use depth sensors in such circumstances, and using an omnidirectional camera

SUBMITTER: Tamura Y 

PROVIDER: S-EPMC11790092 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature