Analysis of Plant Breeding on Hadoop and Spark

المؤلفون المشاركون

Chen, Shuangxi
Wu, Chunming
Yu, Yongmao

المصدر

Advances in Agriculture

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-05-12

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

الزراعة

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1094796