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Analysis of Plant Breeding on Hadoop and Spark
Joint Authors
Chen, Shuangxi
Wu, Chunming
Yu, Yongmao
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Analysis of crop breeding technology is one of the important means of computer-assisted breeding techniques which have huge data, high dimensions, and a lot of unstructured data.
We propose a crop breeding data analysis platform on Spark.
The platform consists of Hadoop distributed file system (HDFS) and cluster based on memory iterative components.
With this cluster, we achieve crop breeding large data analysis tasks in parallel through API provided by Spark.
By experiments and tests of Indica and Japonica rice traits, plant breeding analysis platform can significantly improve the breeding of big data analysis speed, reducing the workload of concurrent programming.
American Psychological Association (APA)
Chen, Shuangxi& Wu, Chunming& Yu, Yongmao. 2016. Analysis of Plant Breeding on Hadoop and Spark. Advances in Agriculture،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1094796
Modern Language Association (MLA)
Chen, Shuangxi…[et al.]. Analysis of Plant Breeding on Hadoop and Spark. Advances in Agriculture No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1094796
American Medical Association (AMA)
Chen, Shuangxi& Wu, Chunming& Yu, Yongmao. Analysis of Plant Breeding on Hadoop and Spark. Advances in Agriculture. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1094796
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094796