5. Background
• From precession agriculture to smart farming
• Smart farming important to answer productivity, environmental
impact, food security and sustainability
• Complex, multivariate and unpredictable agricultural ecosystem need
to be better understand and analysed
• Need large-scale collection, pre-processing, modelling
6.
7.
8. Big Data source
Data Source Availability Veracity
Sensor Closed Medium - High
Administrative Database Closed Medium - High
App Database Closed Medium - High
Social Media Open Low - Medium
Online news Open Medium
• Sensor: Agriculture sensor, GPS, Cellular Network, CCTV, WiFi, IoT
• Admin/Transactional Database: Gov. Enterprise System, Marketplace, etc
• App Database: TaniHub, Desa App, etc
• Social Media: Twitter, Facebook, IG, etc
• Online news: detik.com, kompas.com, cnn.com, etc
10. current analytic technology
data decision action
descriptive
what happened?
diagnostic
why did it happen?
predictive
What will happen?
prescriptive
what should I do?
machine human human still doing
most of the process
Analyze
• Descriptive
• Predictive
• Prescriptive
11. descriptive analytics is still the most successful
http://meetings2.informs.org/analytics2013/execforum.html
15. Farmer Decision Making
• an assessment framework that empowers brands, retailers, suppliers and
farmers at every stage in their sustainability journey, to measure the
environmental impacts of commodity crop production and identify
opportunities for continuous improvement.
The Fieldprint® Platform https://fieldtomarket.org/
20. Mobile Phone Data for population movement between
regions
Mobile Data for Tourism, Migration, Population and Transport in Korea, 6th International Conference on Big Data for Official Statistics, 31 August-2 Sept, 2020