SLFCNet: an ultra-lightweight and efficient strawberry feature classification network.

ABSTRACT:

Background

As modern agricultural technology advances, the automated detection, classification, and harvesting of strawberries have become an inevitable trend. Among these tasks, the classification of strawberries stands as a pivotal juncture. Nevertheless, existing object detection methods struggle with substantial computational demands, high resource utilization, and reduced detection efficiency. These challenges make deployment on edge devices difficult and lead to suboptimal user experiences.

Methods

In this study, we have developed a lightweight model capable of real-time detection and classification of strawberry fruit, named the Strawberry Lightweight Feature Classify Network (SLFCNet). This innovative system incorporates a lightweight encoder and a self-designed feat

SUBMITTER: Xu W 

PROVIDER: S-EPMC11784530 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature