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Titlebook: Environmental Software Systems. Data Science in Action; 13th IFIP WG 5.11 In Ioannis N. Athanasiadis,Steven P. Frysinger,Willem Conference

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發(fā)表于 2025-3-21 18:04:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Environmental Software Systems. Data Science in Action
副標(biāo)題13th IFIP WG 5.11 In
編輯Ioannis N. Athanasiadis,Steven P. Frysinger,Willem
視頻videohttp://file.papertrans.cn/313/312913/312913.mp4
叢書名稱IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Environmental Software Systems. Data Science in Action; 13th IFIP WG 5.11 In Ioannis N. Athanasiadis,Steven P. Frysinger,Willem Conference
描述.This book constitutes the refereed proceedings of the 13th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2020, held in Wageningen, The Netherlands, in February 2020...The 22 full papers and 3 short papers were carefully reviewed and selected from 29 submissions. The papers cover a wide range of topics on environmental informatics, including data mining, artificial intelligence, high performance and cloud computing, visualization and smart sensing for environmental, earth, agricultural and food applications..
出版日期Conference proceedings 2020
關(guān)鍵詞agriculture; applied computing; artificial intelligence; cloud computing; computer hardware; computer net
版次1
doihttps://doi.org/10.1007/978-3-030-39815-6
isbn_softcover978-3-030-39817-0
isbn_ebook978-3-030-39815-6Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2020
The information of publication is updating

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Defining and Classifying Infrastructural Contestation: Towards a Synergy Between Anthropology and Dasets with ethnographic knowledge help us, furthermore, to record tendencies and patterns in the ongoing phenomenon of infrastructural contestation (This study is part of infra-demos project (.), which is funded by a VIDI grant awarded by the Dutch Organisation of Science, PI: Prof. Dimitris Dalakog
地板
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Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring,used by cloud cover. Moreover, that year’s extremely dry summer was visible in the time-series pattern as well. The proposed script is a primary version of a processing chain, which is suitable to be further expanded for more advanced data pre-processing and data analysis in the future.
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Redefining Agricultural Insurance Services Using Earth Observation Data. The Case of Beacon Projectote sensing techniques implemented in the operational workflow of BEACON that can be used by AgI companies to provide safe and reliable results on storms, floods, wildfires and droughts damage on crops.
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發(fā)表于 2025-3-22 20:54:42 | 只看該作者
Using Virtual Research Environments in Agro-Environmental Research,ution. In the H2020 AGINFRA+?project, the usability of the VREs has been explored for use cases around agro-climatic modelling. The implemented pilot application for crop growth modelling has successfully shown that VREs can support distributed research teams in co-development, helps them to adopt o
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Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applicationroughout the paper..The main finding of this paper is there is a major issue of transparency for methods that quantify uncertainty in terms of confidence intervals (frequentist methods). This is primarily because of the difficulty of analysing nominal coverages in common situations. Effectively, thi
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