Big data for smallholders
This paper provides an insight into how big data can be applied for smallholders in the settings of developing or underdeveloped country. It begins by giving an introduction on big data and shows how big data can be utilized. Specific examples on how big data can be used to help smallholders are pro...
| Main Author: | |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Institute of Plantation Studies, Universiti Putra Malaysia
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/58832/ http://psasir.upm.edu.my/id/eprint/58832/1/20171231210531Invited_Speaker_5.pdf |
| _version_ | 1848853754590265344 |
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| author | Mohamed Shariff, Abdul Rashid |
| author_facet | Mohamed Shariff, Abdul Rashid |
| author_sort | Mohamed Shariff, Abdul Rashid |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper provides an insight into how big data can be applied for smallholders in the settings of developing or underdeveloped country. It begins by giving an introduction on big data and shows how big data can be utilized. Specific examples on how big data can be used to help smallholders are provided, particularly relating to paddy and oil palm. Some recommendations for future applications are provided at the end of the paper. |
| first_indexed | 2025-11-15T10:59:00Z |
| format | Conference or Workshop Item |
| id | upm-58832 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:59:00Z |
| publishDate | 2017 |
| publisher | Institute of Plantation Studies, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-588322018-02-07T01:53:09Z http://psasir.upm.edu.my/id/eprint/58832/ Big data for smallholders Mohamed Shariff, Abdul Rashid This paper provides an insight into how big data can be applied for smallholders in the settings of developing or underdeveloped country. It begins by giving an introduction on big data and shows how big data can be utilized. Specific examples on how big data can be used to help smallholders are provided, particularly relating to paddy and oil palm. Some recommendations for future applications are provided at the end of the paper. Institute of Plantation Studies, Universiti Putra Malaysia 2017 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58832/1/20171231210531Invited_Speaker_5.pdf Mohamed Shariff, Abdul Rashid (2017) Big data for smallholders. In: International Conference on Big Data Applications in Agriculture (ICBAA2017), 5-6 Dec. 2017, Auditorium Putra, TNCPI Building, Universiti Putra Malaysia. (pp. 45-49). http://spel2.upm.edu.my/webupm/upload/dokumen/penerbitan/20171231210531Invited_Speaker_5.pdf |
| spellingShingle | Mohamed Shariff, Abdul Rashid Big data for smallholders |
| title | Big data for smallholders |
| title_full | Big data for smallholders |
| title_fullStr | Big data for smallholders |
| title_full_unstemmed | Big data for smallholders |
| title_short | Big data for smallholders |
| title_sort | big data for smallholders |
| url | http://psasir.upm.edu.my/id/eprint/58832/ http://psasir.upm.edu.my/id/eprint/58832/ http://psasir.upm.edu.my/id/eprint/58832/1/20171231210531Invited_Speaker_5.pdf |