Development of a deep-learning phenotyping tool for analyzing image-based strawberry phenotypes
Jean Nepo Ndikumana,
Unseok Lee,
Ji Hye Yoo
et al.
Abstract:IntroductionIn strawberry farming, phenotypic traits (such as crown diameter, petiole length, plant height, flower, leaf, and fruit size) measurement is essential as it serves as a decision-making tool for plant monitoring and management. To date, strawberry plant phenotyping has relied on traditional approaches. In this study, an image-based Strawberry Phenotyping Tool (SPT) was developed using two deep-learning (DL) architectures, namely “YOLOv4” and “U-net” integrated into a single system. We aimed to creat… Show more
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