Data Provenance in Agriculture

被引:3
|
作者
Serra da Cruz, Sergio Manuel [1 ]
Ceddia, Marcos Bacis [1 ]
Tavora Miranda, Renan Carvalho [1 ]
Rizzo, Gabriel [1 ]
Klinger, Filipe [1 ]
Cerceau, Renato [1 ,2 ]
Mesquita, Ricardo [4 ]
Cerceau, Ricardo [1 ]
Marinho, Elton Carneiro [1 ]
Schmitz, Eber Assis [1 ]
Sigette, Elaine [3 ]
Cruz, Pedro Vieira [1 ]
机构
[1] Univ Fed Rural Rio de Janeiro, Seropedica, RJ, Brazil
[2] Natl Agcy Supplementary Hlth, Rio De Janeiro, RJ, Brazil
[3] Fed Fluminense Univ, Volta Redonda, RJ, Brazil
[4] SENAI RJ, Rio De Janeiro, RJ, Brazil
关键词
Reproducibility; Soil security; Open data; Data quality; Big data;
D O I
10.1007/978-3-319-98379-0_31
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Soils are probably the most critical natural resource in Agriculture, and soils security represents a critical growing global issue. Soils experiments require vast amounts of high-quality data, are very hard to be reproduced, and there are few studies about data provenance of such tests. We present OpenSoils; it shares knowledge about data-centric soils experiments. OpenSoils is a provenance-oriented and lightweight e-infrastructure that collects, stores, describes, curates and, harmonizes various soil datasets.
引用
收藏
页码:257 / 261
页数:5
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