Asian Food Agribusiness Conference Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University 11 June 2019 Presented by Asst. Prof. Krung Sinapiromsaran Big Data Analytic Tools for Agrifood Industry on Open Data Sources
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Big Data Analytic Tools for Agrifood Industry on Open Data ......9 The new era for Agrifood Shorten value chains: Various agrifood companies attempt to shorten the value chain step
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Asian Food Agribusiness Conference
Department of Mathematics and Computer Science,Faculty of Science, Chulalongkorn University
The Emerging Technologies Hype CycleSource: http://www.mauriziogalluzzo.it/wp-content/uploads/2014/08/hype_TheEconomist.pdf
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The new era for Agrifood
✔ Shorten value chains: Various agrifood companies attempt to shorten the value chain step such as direct-to-consumer delivery, meal kits✔ Utilize technology to improve crop efficiency:use of drones, autonomous robots✔ Bio-chemincals and bio-energy:Reduce the ecological footprint, developing biologically-produced agrochemicals, bio-materials, and bio-energy✔ Food technology and artificial meat:Developing “sustainable protein”✔ Contained and vertical farming:Indoor farming, raising animals in crowded indoor facility
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Big Data and Big Data and Advanced Advanced AnalyticsAnalytics
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Big Data and Advanced Analytics
Opportunity Industry Challenge ApplicationInnovation High need for innovation ● Building a “Data innovation engine”
● Holistic optimization
Optimize farming operations
Increase quality and quantity of food over 20-30 years
● “Precision agriculture” based on measuring and optimizing granular field operations
Increase supply chain transparency
Little foresight into crop volumes
● Increasing forecasting accuracy with real-time data collection and analysis
● Lowering response times, risks
Improving Downstream Ops
Produce in high-volume but low operational efficiency
● “Operations big-data toolbox” – production optimization
Infrastructure challenge
Poor infrastructure in emerging markets
● Advanced analytics to identify key bottlenecks in infrastructure
● Infrastructure network optimization
Anticipate waste Enormous amounts of residential (food) waste
● Granular data collection of waste streams in households
Source:McKinsey&Company “How big data will revolutionize the global food chain