Data Provenance in Agriculture
| Autor: | Renan Carvalho Távora Miranda, Marcos Bacis Ceddia, Sergio Manuel Serra da Cruz, Elaine Sigette, Renato Cerceau, Pedro Vieira Cruz, Ricardo Cerceau, Filipe Klinger, Elton Carneiro Marinho, Gabriel S. Rizzo, Ricardo Pires Mesquita, Eber Assis Schmitz |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Provenance business.industry Computer science Big data Environmental resource management 04 agricultural and veterinary sciences Natural resource GeneralLiterature_MISCELLANEOUS 03 medical and health sciences Open data 030104 developmental biology Global issue Agriculture Data quality 040103 agronomy & agriculture 0401 agriculture forestry and fisheries business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319983783 IPAW |
| DOI: | 10.1007/978-3-319-98379-0_31 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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