2024
DOI: 10.28991/esj-2024-08-02-08
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Crop Detection and Maturity Classification Using a YOLOv5-Based Image Analysis

Viviana Moya,
Angélica Quito,
Andrea Pilco
et al.

Abstract: In recent years, the accurate identification of chili maturity stages has become essential for optimizing cultivation processes. Conventional methodologies, primarily reliant on manual assessments or rudimentary detection systems, often fall short of reflecting the plant’s natural environment, leading to inefficiencies and prolonged harvest periods. Such methods may be imprecise and time-consuming. With the rise of computer vision and pattern recognition technologies, new opportunities in image recognition hav… Show more

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Cited by 2 publications
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References 59 publications
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