Data, Big-data, Innovation and Technology In Food and ...
Transcript of Data, Big-data, Innovation and Technology In Food and ...
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Dejan JakovljevicDeputy Director - CSI
Food and Agriculture Organization of the United Nations
Data, Big-data, Innovation and TechnologyIn Food and Agriculture
United Nations Expert Group Meeting on Population, Food Security,
Nutrition and Sustainable Development
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1. Current Situation in the Food and Agriculture
2. The Role of Data in Food and Agriculture
3. FAO examples in applying Data and Big Data in agriculture
4. Emerging and future data uses in Food and Agriculture
Presentation Outline
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Current Situation in the Food and Agriculture
Covid-19 has worsened the food insecurity worldwide – developing countries mostly impacted
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Impact of COVID-19 to Food Supply Chains
42
Food Supply
Chains
Shortages of Labour to
produce and process food
Decrease supply of perishable
commodities
Transport restrictions
blocking food deliveries
Increasing struggle of farmers to
access markets
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Desert Locust Crisis
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FAO: Data, Big-data, Innovation and Technologyin action
FAO Big Data Lab Geospatial Platform and Hand in Hand Initiative FAO Digital Service Portfolio
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Primary objectiveSupport our members’ data needs by:1. Filling data gaps2. Improving timeliness and granularity of
data collection3. Providing automated analysis4. Providing early warning signals
Main strategies1. Web scraping2. Text mining3. Artificial intelligence4. Geo-spatial data and RS
FAO Data Lab : objectives and methods
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Use of geo-spatial data for statistics: estimating Peatland degradation
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Automated search and text mining to study the effects of COVID-19 on food chains
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Use of artificial intelligence to build up new datasets: the FLW database
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FAO Hand-in-Hand Geospatial Platform
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HiH is an evidence-based initiative, needs massive geospatial data:
• Multi-sectorial data to address wide-spectrum problems with a system approach
• Trustable data with quality control andverification• Interoperable dataset to make data fromdifferent sources/domains work together• Break silos of geospatial data for bettercollaboration
Hand in Hand Demands Data
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YearType of regional
level Regional levelRegional
codeCommodit
yCommodity
codeProductio
nUnit of
measure
2017-18 Sub-regional Punjab PAK.7_1 Wheat 111.0 19178,5 1000 tonnes
2017-18 Sub-regional Sindh PAK.8_1 Wheat 111.0 3639,5 1000 tonnes
2017-18 Sub-regionalKhyber
PakhtunkhwaPAK.5_1 Wheat 111.0 1322,7 1000 tonnes
2017-18 Sub-regional Balochistan PAK.2_1 Wheat 111.0 935,4 1000 tonnes
2017-18 Regional Pakistan PAK Wheat 111.0 25076,1 1000 tonnes
1. Sub-national data
collected through webscraping, text mining,artificial intelligence
2. Data stored in database updated every day,
and validated against official sources3. Data fed into HiH-GIS Platform
Granular data to optimize investments in territories: Hand-in-Hand Initiative
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Compare and Contrast
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Catalogue with metadata
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View Data in 3D
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View Sub-National Data and Location Data
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View Data Related to Projects
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FAO Digital Services Portfolio
• Offer information & advisory messages to farmers
in the field
• Connect directly Governments to Rural Farmers
• A platform working as a SaaS
• Implemented in,
• Rwanda
• Senegal
• Egypt
• Tanzania (Up coming)
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3. Digital Intelligence Platform: Improving value-chain decision making
PLANT HEALTH ANIMAL HEALTH WATER MANAGEMENT FOOD & NUTRITION PESTICIDESbusiness capabilities
food and agriculture value chain
20252000 2018
• What is the national problem?• How is the country doing?
• What is the village problem? • How is the village doing?
• How will happen to my crops?• What should I do?
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https://www.nesta.org.uk/feature/precision-agriculture/
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Emerging Issues and future data uses in Food and Agriculture
Artificial Intelligence -Issues
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FAO and Artificial Intelligence – recent developments