Jenny Lim Head of Corporate Social Investments, APAC NOKIA Mobile Technology in Food Security.

Slides:



Advertisements
Similar presentations
Some things to think about What is meant by the term Fair Trade? How does Fair Trade benefit farmers? What are the disadvantages to Fair Trade?
Advertisements

Family Resources Survey Data Collection Methods Jo Maher (National Centre for Social Research) Tom Howe (Office for National Statistics)
The State of Food and Agriculture In Syria (SOFAS) 2005 By Samir Jrad Agro-Food Division.
2010 Population Census (SP2010) and 2013 Agriculture Census (ST2013) Modern Data Processing Automation in BPS-Statistics Indonesia: an Innovations Dudy.
NOBO JIBON A Title II Food Security Program in Bangladesh (June 2010-May 2015)
RAPID FOLLOW UP FOOD SECURITY ASSESSMENT Flood and Water Logging Affected Areas of Satkhira and Jessore.
Angelique UWIMANA MIS specialist MINAGRI. AMIS  Agricultural Management Information system  Contain information relation to: ◦ Agricultural extension.
Lessons from Tanzania and Namibia Experiences September 19, 2012 Jacqueline Ndirangu – Pact Namibia Daisy Kisyombe – Pact Tanzania Pact MERL webinar series.
Overview of China’s Agricultural Development and Policies
U.S.D.A. United States Department of Agriculture.
Section 29.1 Marketing Research
Central Bureau of Statistics Ministry of Planning and National Development Department of Resource Surveys and Remote Sensing Ministry of Environment and.
UGANDA NATIONAL PANEL SURVEY PROGRAM DECEMBER 2013 By James Muwonge, Uganda Bureau of Statistics Uganda Bureau of Statistics.
Challenges Facing China over the Next Decade" By Marvin Cunningham.
TURKISH STATISTICAL INSTITUTE Agricultural Statistics Department Agricultural Structure and Economic Accounts Group TURKISH STATISTICAL SYSTEM.
Crop Weather Reporting Information National Agricultural Statistics Service Mississippi Field Office.
1 Sustainable Agriculture strategy Zurich 8 th June 2011 Neil la Croix Director of Supply Chains.
Integrated household based agricultural survey methodology applied in Ethiopia, new developments and comments on the Integrated survey frame work.
Price index of Agricultural Output and Input Hana Tubi Idit Ofek CBS February 2012 February 2012.
Improvements Of Sample Design For Rural Statistical Surveys In China Michael Steiner National Agricultural Statistics Service United States Department.
Institutional Learning and Change Initiative of the CGIAR 1 The new dynamics of poverty and the role of science in poverty alleviation Javier M. Ekboir.
Copyright 2010, The World Bank Group. All Rights Reserved. Importance and Uses of Agricultural Statistics Section A 1.
PoiMapper in Plan Raša Sekulović - Regional Adviser, Child Rights and Protection Plan Asia Regional Office.
Agriculture statistics in Israel in Israel Jamal Medlege Hana Tubi, MOAG CBS may 2011.
Building Technology Tools For The Field. Grameen Foundation Working in Mobile for 10+ Years 2 Headquarters: Washington, DC Technology Center: Seattle,
Liliana Balbi Senior Economist, Team Leader GIEWS FAO Trade and Markets Division Agricultural Market Information Network in the Mediterranean Region Kick.
The Online Commodity Exchange Limited Domestic Consumer Information Manual.
The Online Commodity Exchange Limited Commercial Kitchen Information Manual.
© Mcgraw-Hill Companies, 2008 Farm Management Chapter 1 Farm Management in the Twenty-First Century.
United Nations Regional Workshop on Data Dissemination and Communication Ms. Fallon Lambert Rio de Janeiro, Brazil, 5-7 June 2013 General Bureau of Statistics.
ALTERNATIVE APPROACHES FOR NUTRITION DATA COLLECTION IN DEVELOPING COUNTRIES.
Vodacom Mobile Solutions in Agriculture – AFRACA Workshop
Nokia Internal Use Only Inform, Involve, Empower Information access for the Next Billion How can the release of actionable information impact on consumer.
1 The Benefits of NAFTA for U.S. Agriculture May 2005.
Agricultural Water Use Reporting and Surveys North Carolina Department of Agriculture and Consumer Services Cooperating with the United States Department.
TURKISH STATISTICAL INSTITUTE Agricultural Statistics Department TURKISH STATISTICAL INSTITUTE Agricultural Statistics Department Agricultural Structure.
How USDA Forecasts Production and Supply/Demand. Overview  USDA publishes crop supply and demand estimates for the U.S. each month.  Because of the.
Rome, May 3, 2007 How Organic Agriculture Contributes to Food Availability Lukas Kilcher and Christine Zundel Conference on Organic Agriculture.
Business of Businesses in Livelihoods Promotion: Avenues and Options Fresh Produce Supply Chain in India.
Promoting CARICOM/CARIFORUM Food Security (Project GTFS/RLA/141/ITA) (FAO Trust Fund for Food Security and Food Safety – Government of Italy Contribution)
M & E Working Group Meeting: New Technology Applications in M & E Wireless Data Entry & Wireless Data Transmission from Mobile Devices to Web Virginia.
An Online Questionnaire: improving timeliness of outbreak investigations Amy E. Parry 1,2, K.Byron-Gray 1, D.Johnson 1, J.Raupach 1, M. McPherson 2 1.
Topic: Impact of Commercial Agricultural Production on Poverty Reduction: A case study of Vientiane Province Sengpheth SENGMEUANG Laos Agricultural policy.
Niagara Falls, October 2009 WORLD AGRICULTURAL SITUATION Niagara Falls, October 2009.
MABS APPROACH TO AGRICULTURAL MICROFINANCE Module 1, Session 2 The Value Chain Framework: Making it Work for Small Farmers.
E-SOKO – The Agricultural Market Price information system
EASIER AND MORE ACCURATE DATA COLLECTION FASTER DATA TRANSFER REAL-TIME DECISION-MAKING.
1. 2 Problem  Farmers have limited access to modern agriculture technologies(the ratio of farmers to agents is 2000: 1).  Decreased farmer yield and.
Rome, 2015 Alikhan Smailov Chairman of the Committee on Statistics Ministry of National Economy of the Republic of Kazakhstan Development of agricultural.
1. AVOID SPECULATION “ANALYSTS SPECULATE WHEN TO SELL YOUR GRAIN… WE CALCULATE WHERE TO SELL YOUR GRAIN.” 2. INCORPORATE ALL AVAILABLE DATA CASH BIDS-
Monitoring Food Prices Using Mobile Technologies through the FENIX Platform.
THE GAMBIA EXPERIENCE PLACE: ADDIS ABABA PRESENTER : MR. MOMODOU LAMIN FADIA GAMBIA BUREAU OF STATISTICS (GBOS) DATE : 13 TH OCTOBER 2015 Consumer & Producer.
Workshop for Establishing an International Collaboration Platform for Smallholders, Family Farmers and Agricultural Producer Organisations in OIC Member.
National Agriculture Sample Survey Timor Leste Experiences Roundtable Meeting on Programme for the 2010 Round of Censuses of Agriculture - Apia, Samoa.
Baseline studies Key Findings Vietnam Presented at the second annual TMPEGS-Vietnam Meeting Nong Lam University June 2007 NLU Team.
Benjamin Sila Samoa Bureau of Statistics ‘Data Collection on rural enterprises & services through Ag Census’ FAO Roundtable Meeting on Programme for the.
Copyright 2010, The World Bank Group. All Rights Reserved. Agricultural statistics part 1A Demarcation and principles Business Statistics and Registers.
1 Outline  Introduction  Methodology for compiling CPI  Data Collection and Compilation.
Improving Civil Registration and Vital Statistics Systems around the World.
Tackling hunger through integrated community development in Lao PDR Ian Bromage Hue City, Vietnam September 2015.
United Nations Expert Group Meeting on International Standards for Civil Registration and Vital Statistics Systems, June 2011, New York Evaluation.
ECA-FAO DATA COLLECTION SYSTEM USING MOBILE DEVICES OVERVIEW Meriem Ait Ouyahia Statistician, African Centre for Statistics, ECA Fabio Grita System Support.
Food security strategies Domestic production – food self- sufficiency or food sovereignty. Commercial food imports – trade based. Food aid. Land acquisition.
Strengthening civil registration and vital statistics systems - a necessity for the region to overcome socio- economic and health challenges Dr. Lene Mikkelsen.
MOBILE PHONE REGISTRATION ENHANCED BENEFICIARY TRACKING SYSTEM Liberia Agricultural Upgrading Nutrition & Child Health Program Job Milapo & Laura Buback.
CONSUMER AND WHOLESALES PRICES ON ORGANIC FARMING MIPAAF-Italy TAPAS – n°
A case study of: Rural to urban migration from West Kenya to Kibera, a shanty town in Nairobi & The problems faced by large scale in-migration, Kibera,
PartII. Key M&E requirements:  Specification of information requirements  What exactly do the decision makers want to know about the project?  For.
MGeos COLLECT & SHARE M4DEV, Mobile Technologies for Development Kristoffer Rosberg , Hanoi,Vietnam Being efficiently able to provide health,
NASS CAPI SOLUTION Computer Assisted Personal Interview
Presentation transcript:

Jenny Lim Head of Corporate Social Investments, APAC NOKIA Mobile Technology in Food Security

2 Talent is universal. Opportunity is not. - Hillary Clinton

3 © Nokia 2011 Filename.pptx v. 0.1 YYYY-MM-DD Author Document ID [Edit via Insert > Header & Footer]

Survey 1: Wholesale Prices - 10 major commodities (Temperate vegetables, fruits, fishery product, etc.) -Managed by 7 major trading centres covering 11 markets -5 respondents / commodity / market day; approx. 3 market days / weeks. Total: 1650 surveys conducted / week -Result: Up-to-date prices published in Bureau of Agriculture Statistics website. -Community Impact: Farmers, traders, community are well- informed of market prices. Facilitates better planning; farmers income increased.

Survey 2: Palay (Rice) & Corn Stocks - Collects data on stock levels for rice and corn in households -Collected 1 st 10 days of the month -81 provinces, 810 villages, on average 16,200 households -Result: Successfully monitor stock levels for the next 90 days -Community Impact: Department of Agriculture can manage demand & supply of rice and other food sources. Community has access to staple meals.

Nokia Data Gathering Offering organizations a fast, accurate way to collect field data © 2011 Nokia Corporate Social Investment, 7

Company Confidential Making a difference wherever timely action is needed Nokia Data Gathering is a solution that helps organizations to collect field data on critical issues using mobile phones instead of paper forms, PDAs or laptops. Since mobile phones can send data from many remote locations, collected data can be transmitted in near real-time for analysis. Mobile phones as data collection tools offer convenience through usability, size, weight and battery longevity. © 2011 Nokia Corporate Social Investment 8

Company Confidential How does Nokia Data Gathering work? © 2011 Nokia Corporate Social Investment 9 1 Create questionnaire 2 3 Send questionnaire to mobile phones Collect data on mobile phone and send back 4 Analyze, map and export data

Company Confidential Creating the questionnaire © 2011 Nokia Corporate Social Investment 10

Company Confidential

Inputting data quickly and easily via mobile phone © 2011 Nokia Corporate Social Investment 12

Company Confidential Analyzing the data, creating reports and viewing results © 2011 Nokia Corporate Social Investment 13 GPS tracking

Company Confidential Speed, cost and accuracy © 2011 Nokia Corporate Social Investment 14

Company Confidential Hundreds of organizations in fundamentally different spheres share the same need for accurate and timely field data © 2011 Nokia Corporate Social Investment 15 Other: environmental conservation, emergency services… Ecuador 2008 improving access and quality of the health care The Philippines 2010 Following up crop production Brazil: 2009 Fighting back dengue fever Liberia 2010 Birth registration 93% cut in dengue fever cases Health Agriculture Census Other Indonesia 2010 SINAR - Child Sponsorship data gathering 48% and 39% savings in time and costs respectively that is reallocated to more direct benefits to the children Kenya 2010 Water survey Kenya 2010 Birth registration Kenya 2010 Farmer survey Finland 2011 Ringed Seal Lair Count Strengthened state capability contributing to consolidation of peace and development Zimbabwe 2011 Access to essential medicines Uganda 2011 Veterinary Survey 50% faster production of drought bulletins

© 2011 Nokia Corporate Social Investment 16 “We have series of programs dealing with endemic diseases and Nokia’s technology helps us to rapidly record symptoms of the surveyed population. The transmission of information after the interviews improves agility, increases public safety and avoids manual filling-in of forms”. Agnaldo Costa, State Health Secretary of Amazonas State “The Nokia Data Gathering solution will augment and eventually replace our data-gathering systems so we can concentrate on crafting programs and solutions to further boost farm yields despite the erratic weather patterns” Bernie Fondevilla, The Department of Agriculture Secretary

Company Confidential © 2008 Nokia V1-Filename.ppt / YYYY-MM-DD / Initials 17

Website: Thank You!