ArticleJournal of fungi (Basel, Switzerland)2026
Comparative Evaluation of YOLOv8 and YOLOv11 for Digital Phenotyping of Edible Mushrooms Under Controlled Cultivation Conditions.
Article in Journal of fungi (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Phenotypic Analysis of Edible Mushroom Fruiting Bodies in Monocular RGB Images: A Problem-Oriented Critical Review.Journal of fungi (Basel, Switzerland) · 2026Review
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Authors and funding
7 authors.
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Abstract
Digital phenotyping is increasingly recognized as an essential tool for the quantitative analysis of fungal morphology, particularly in controlled indoor cultivation systems where large numbers of fruiting bodies must be assessed consistently and non-destructively. While YOLOv8-based deep learning approaches have previously been applied in phenotypic analyses of edible mushrooms, the applicability of newer YOLO architectures to fungal phenotyping remains largely unexplored. In this study, we present a controlled-environment digital phenotyping framework for indoor mushroom cultivation and conduct a systematic benchmarking evaluation of YOLOv11 for phenotypic segmentation in comparison with YOLOv8. Using bottle-cultivated
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