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Tomato maturity recognition with convolutional transformers

Abstract Tomatoes are a major crop worldwide, and accurately classifying their maturity is important for many agricultural applications, such as harvesting, grading, and quality control. In this paper, the authors propose a novel method for tomato maturity classification using a convolutional transf...

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Principais autores: Asim Khan, Taimur Hassan, Muhammad Shafay, Israa Fahmy, Naoufel Werghi, Seneviratne Mudigansalage, Irfan Hussain
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2023-12-01
Colecção:Scientific Reports
Acesso em linha:https://doi.org/10.1038/s41598-023-50129-w
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