Article

Advancing Arecanut Quality Grading: A Comparative Analysis of YOLO Models with Hyperparameter Optimization

2025-01-06

Abstract excerpt

<title>Abstract</title> <p>Arecanut grading is essential for maintaining quality, fair pricing, and efficient trade. Manual grading methods, dependent on subjective human assessment, are prone to errors, inconsistencies, and inefficiencies, particularly in large-scale operations.Automating this process is vital for improving accuracy and scalability. The You Only Look Once (YOLO) deep learning method autonomously...

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Literature Corpus work: 64aff8dd-90a7-57a1-8864-6d42c97387dc
DOI: 10.21203/rs.3.rs-5755373/v1

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