首页|期刊导航|植物表型组学（英文）|Spotibot:Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing

Spotibot:Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing

Dan Jeric Arcega Rustia Maikel Zerdoner Manon Mensink Richard GF.Visser Paul Arens Suzan Gabriëls

植物表型组学（英文）2025，Vol.7Issue(2)：42-55,14.

植物表型组学（英文）2025，Vol.7Issue(2)：42-55,14.DOI:10.1016/j.plaphe.2025.100029

Spotibot:Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing

Dan Jeric Arcega Rustia ¹Maikel Zerdoner ²Manon Mensink ³Richard GF.Visser ⁴Paul Arens ⁴Suzan Gabriëls⁴

作者信息

1. Greenhouse Horticulture and Flower Bulbs Business Unit,Wageningen Plant Research,Wageningen University & Research,6708 PB,Wageningen,the Netherlands
2. Plant Breeding,Wageningen University & Research,6708 PB,Wageningen,the Netherlands||Graduate School Experimental Plant Sciences,Wageningen University & Research,6708 PB,Wageningen,the Netherlands
3. Food & Biobased Research,Wageningen University & Research,6708 WG,Wageningen,the Netherlands
4. Plant Breeding,Wageningen University & Research,6708 PB,Wageningen,the Netherlands
折叠

摘要

关键词

Deep learning/Plant phenotyping/Botrytis/Rose/Mobile computing

Key words

Deep learning/Plant phenotyping/Botrytis/Rose/Mobile computing

引用本文复制引用

Dan Jeric Arcega Rustia,Maikel Zerdoner,Manon Mensink,Richard GF.Visser,Paul Arens,Suzan Gabriëls..Spotibot:Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing[J].植物表型组学（英文）,2025,7(2):42-55,14.

基金项目

This work is part of a public-private-partnership project called"Variation in S gene and S gene dosage to increase Botrytis resistance in rose and strawberry"(Project number:LWV21.027)funded by the Dutch Topsector for Knowledge and Innovation and co-funded by the corre-sponding industry partners Dümmen Orange,De Ruiter Innovations,Interplant,Meilland International and United Selections. （Project number:LWV21.027）

植物表型组学（英文）

访问量0

下载量0

段落导航