Citation
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).
Abstract
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.
Download File
Official URL or Download Paper: http://spel2.upm.edu.my/webupm/upload/dokumen/pene...
|
![[img]](http://psasir.upm.edu.my/style/images/fileicons/application_pdf.png)
Additional Metadata
| Item Type: | Conference or Workshop Item (Keynote) |
|---|---|
| Divisions: | Faculty of Engineering |
| Publisher: | Institute of Plantation Studies, Universiti Putra Malaysia |
| Keywords: | Big data; Smallholders; GIS; Remote sensing; GNSS |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 07 Feb 2018 01:53 |
| Last Modified: | 07 Feb 2018 01:53 |
| URI: | http://psasir.upm.edu.my/id/eprint/58832 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |