在 iNaturalist上发现卡斯蒂莱哈 (Orobanchaceae) 的识别挑战
Marco Bürger1,2, Joanne Chory1,2
1Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, California, United States of America.
PloS one
|October 24, 2024
概括
公民科学平台因其复杂的特征而难以准确识别印度画笔 (Castilleja) 物种. 为了可靠地监测生物多样性,需要改进算法和专家验证.
科学领域:
- 植物学 植物学
- 生物多样性监测 生物多样性监测
- 计算生物学 计算生物学
背景情况:
- 公民科学平台对于生物多样性监测至关重要.
- 科Castilleja (印度画笔) 存在鉴定挑战,因为高物种多样性和频繁的杂交.
- 准确的植物识别对于生态研究和保护工作至关重要.
研究的目的:
- 在iNaturalist.上评估卡斯蒂利亚的物种识别准确性.
- 为了识别Castilleja属中常见的识别错误和混.
- 评估自动化,用户和专家识别之间的协议.
主要方法:
- 对Castilleja物种的 iNaturalist数据的分析.
- 最初的自动识别与随后的用户和研究级识别的比较.
- 专注于普遍存在的错误识别,例如在Castilleja densiflora和Castilleja exserta之间.
主要成果:
- 在Castilleja物种的自动和初步识别方面存在重大挑战.
- 卡斯蒂利亚的密植物和卡斯蒂利亚的密植物经常被误认为.
- 在初始和最终的研究级识别之间观察到差异.
结论:
- 当前的计算机视觉算法需要改进,以准确识别像Castilleja.这样的复杂植物属.
- 专家验证对于确保公民科学数据的可靠性至关重要.
- 提高识别准确性对于有效的生物多样性监测和分类学研究至关重要.
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