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

来源：

PROVENANCE AND ANNOTATION OF DATA AND PROCESSES, IPAW 2018 | 2018年 / 11017卷

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

页码：257 / 261

页数：5

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