{"title":"所有的花都是一样的吗?一个公民科学移动应用程序,提高人们对昆虫传粉者的认识","authors":"Giovanni Delnevo, C. Ceccarini, Catia Prandi","doi":"10.1109/ICDCSW56584.2022.00052","DOIUrl":null,"url":null,"abstract":"Climate change is one of the most significant challenges of our time. Biodiversity makes an essential contribution to both climate-change mitigation and adaptation. To this end, it is essential to protect insect pollinators that are responsible for the reproduction of over 80% of the world's flowering plants. To increase citizen awareness about the local flowers species and their attractiveness to wild pollinators, we designed a mobile app exploiting citizen science, AR, deep learning, and gamification. This short paper presents the design framework, the prototype, and some preliminary results of the deep learning performance. Finally, we conclude the paper with future work and directions.","PeriodicalId":357138,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Are all the flowers the same? A Citizen Science mobile app for increasing awareness about insect pollinators\",\"authors\":\"Giovanni Delnevo, C. Ceccarini, Catia Prandi\",\"doi\":\"10.1109/ICDCSW56584.2022.00052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change is one of the most significant challenges of our time. Biodiversity makes an essential contribution to both climate-change mitigation and adaptation. To this end, it is essential to protect insect pollinators that are responsible for the reproduction of over 80% of the world's flowering plants. To increase citizen awareness about the local flowers species and their attractiveness to wild pollinators, we designed a mobile app exploiting citizen science, AR, deep learning, and gamification. This short paper presents the design framework, the prototype, and some preliminary results of the deep learning performance. Finally, we conclude the paper with future work and directions.\",\"PeriodicalId\":357138,\"journal\":{\"name\":\"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCSW56584.2022.00052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCSW56584.2022.00052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Are all the flowers the same? A Citizen Science mobile app for increasing awareness about insect pollinators
Climate change is one of the most significant challenges of our time. Biodiversity makes an essential contribution to both climate-change mitigation and adaptation. To this end, it is essential to protect insect pollinators that are responsible for the reproduction of over 80% of the world's flowering plants. To increase citizen awareness about the local flowers species and their attractiveness to wild pollinators, we designed a mobile app exploiting citizen science, AR, deep learning, and gamification. This short paper presents the design framework, the prototype, and some preliminary results of the deep learning performance. Finally, we conclude the paper with future work and directions.