How training citizen scientists affects the accuracy and precision of phenological data
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Biometeorology"
DOI: 10.1007/s00484-018-1540-4
Abstract: Monitoring plant and animal phenology is a critical step to anticipating and predicting changes in species interactions and biodiversity. Because phenology necessarily involves frequent and repeated observations over time, citizen scientists have become a vital… read more here.
Keywords: accuracy precision; repeated observations; training citizen; phenology ... See more keywords
Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus
Sign Up to like & getrecommendations! Published in 2021 at "Plants"
DOI: 10.3390/plants10112471
Abstract: Machine learning (ML) can accelerate the extraction of phenological data from herbarium specimens; however, no studies have assessed whether ML-derived phenological data can be used reliably to evaluate ecological patterns. In this study, 709 herbarium… read more here.
Keywords: phenological data; streptanthus tortuosus; machine learning; herbarium specimens ... See more keywords