A. Antonelli, Kiran L. Dhanjal‐Adams, D. Silvestro
{"title":"Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity","authors":"A. Antonelli, Kiran L. Dhanjal‐Adams, D. Silvestro","doi":"10.1002/ppp3.10337","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":52849,"journal":{"name":"Plants People Planet","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plants People Planet","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1002/ppp3.10337","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
期刊介绍:
Plants, People, Planet aims to publish outstanding research across the plant sciences, placing it firmly within the context of its wider relevance to people, society and the planet. We encourage scientists to consider carefully the potential impact of their research on people’s daily lives, on society, and on the world in which we live. We welcome submissions from all areas of plant sciences, from ecosystem studies to molecular genetics, and particularly encourage interdisciplinary studies, for instance within the social and medical sciences and chemistry and engineering.