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Dataset Information

Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT.


ABSTRACT: Berry thinning is one of the most important tasks in the management of high-quality table grapes. Farmers often thin the berries per cluster to a standard number by counting. With an aging population, it is hard to find adequate skilled farmers to work during thinning season. It is urgent to design an intelligent berry-thinning machine to avoid exhaustive repetitive labor. A machine vision system that can determine the number of berries removed and locate the berries removed is a challenge for the thinning machine. A method for instance segmentation of berries and berry counting in a single bunch is proposed based on AS-SwinT. In AS-SwinT, Swin Transformer is performed as the backbone to extract the rich characteristics of grape berries. An adaptive feature fusion is introduced to the neck

SUBMITTER: Du W 

PROVIDER: S-EPMC10465307 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature