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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
Institute of Plantation Studies, Universiti Putra Malaysia
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/58832/1/20171231210531Invited_Speaker_5.pdf http://psasir.upm.edu.my/id/eprint/58832/ http://spel2.upm.edu.my/webupm/upload/dokumen/penerbitan/20171231210531Invited_Speaker_5.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|