H. Goëau, P. Bonnet, A. Joly, V. Bakic, Julien Barbe, Itheri Yahiaoui, Souheil Selmi, Jennifer Carré, D. Barthélémy, N. Boujemaa, J. Molino, Grégoire Duché, Aurélien Péronnet
{"title":"Pl@ntNet移动应用","authors":"H. Goëau, P. Bonnet, A. Joly, V. Bakic, Julien Barbe, Itheri Yahiaoui, Souheil Selmi, Jennifer Carré, D. Barthélémy, N. Boujemaa, J. Molino, Grégoire Duché, Aurélien Péronnet","doi":"10.1145/2502081.2502251","DOIUrl":null,"url":null,"abstract":"Pl@ntNet is an image sharing and retrieval application for the identification of plants, available on iPhone and iPad devices. Contrary to previous content-based identification applications it can work with several parts of the plant including flowers, leaves, fruits and bark. It also allows integrating user's observations in the database thanks to a collaborative workflow involving the members of a social network specialized on plants. Data collected so far makes it one of the largest mobile plant identification tool.","PeriodicalId":20448,"journal":{"name":"Proceedings of the 21st ACM international conference on Multimedia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Pl@ntNet mobile app\",\"authors\":\"H. Goëau, P. Bonnet, A. Joly, V. Bakic, Julien Barbe, Itheri Yahiaoui, Souheil Selmi, Jennifer Carré, D. Barthélémy, N. Boujemaa, J. Molino, Grégoire Duché, Aurélien Péronnet\",\"doi\":\"10.1145/2502081.2502251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pl@ntNet is an image sharing and retrieval application for the identification of plants, available on iPhone and iPad devices. Contrary to previous content-based identification applications it can work with several parts of the plant including flowers, leaves, fruits and bark. It also allows integrating user's observations in the database thanks to a collaborative workflow involving the members of a social network specialized on plants. Data collected so far makes it one of the largest mobile plant identification tool.\",\"PeriodicalId\":20448,\"journal\":{\"name\":\"Proceedings of the 21st ACM international conference on Multimedia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st ACM international conference on Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2502081.2502251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st ACM international conference on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2502081.2502251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pl@ntNet is an image sharing and retrieval application for the identification of plants, available on iPhone and iPad devices. Contrary to previous content-based identification applications it can work with several parts of the plant including flowers, leaves, fruits and bark. It also allows integrating user's observations in the database thanks to a collaborative workflow involving the members of a social network specialized on plants. Data collected so far makes it one of the largest mobile plant identification tool.
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