CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism.

ABSTRACT:

Background

One of the key elements in maintaining the consistent marketing of tomato fruit is tomato quality. Since ripeness is the most important factor for tomato quality in the viewpoint of consumers, determining the stages of tomato ripeness is a fundamental industrial concern with regard to tomato production to obtain a high quality product. Since tomatoes are one of the most important crops in the world, automatic ripeness evaluation of tomatoes is a significant study topic as it may prove beneficial in ensuring an optimal production of high-quality product, increasing profitability. This article explores and categorises the various maturity/ripeness phases to propose an automated multi-class classification approach for tomato ripeness testing and evaluation.

Methods

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SUBMITTER: Appe SN 

PROVIDER: S-EPMC10403160 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature