Data out, knowledge in: - dumb and smart phones for research and extension delivery in smallholder farming systems
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Data out, knowledge in: - dumb and smart phones for research and extension delivery in smallholder farming systems

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Presentation by Sander Muilerman, International Institute of Tropical Agriculture

Presentation by Sander Muilerman, International Institute of Tropical Agriculture
Session: TechTalk for Agriculture
on 7 Nov 2013
ICT4Ag, Kigali, Rwanda

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Data out, knowledge in: - dumb and smart phones for research and extension delivery in smallholder farming systems Data out, knowledge in: - dumb and smart phones for research and extension delivery in smallholder farming systems Presentation Transcript

  • Data out, knowledge in - dumb and smart phones for research and extension delivery in smallholder farming systems TechTalk for Agriculture Sander Muilerman International Institute of Tropical Agriculture
  • IITA An international non-profit R4D organization (1967) for the development of agriculture. Mission to reduce producer and consumer risks, enhance crop quality and productivity, and generate wealth from agriculture. R4D activities reach ~85% of national systems in Africa. Partners include national and international institutes, NGOs, academia, and the private sector. A member of CGIAR consortium www.iita.org
  • Part of the CGIAR consortium Global research partnership unites 15 organizations engaged in research for sustainable development A member of CGIAR consortium www.iita.org
  • Agricultural researchers like paper questionnaires  Proven low-tech technology  Accepted and appropriate technology  Clear scientific conventions on good practice  Fail-safe even in the most remote areas  Paper trail However, several drawbacks: Complex logistics, no corrections once printed, managing unexpected outcomes, data latency, minimal economies of scale, cost and HR for data entry, field management and data quality management… A member of CGIAR consortium www.iita.org
  • Digital surveys: answer the question on the screen A member of CGIAR consortium www.iita.org
  • Digital data collection tools enhance research process  Skipping, conditionality, branching and live updates/corrections  Use previous answers in new questions (or for calculations)  Innovative mixed methods research (audio, photo, video…)  No catastrophic data loss, no data latency, high reliability  Easier field staff management, even with multiple surveys, and more quality checks with data range & type enforcement  Mobile phones today are accepted technology in rural areas, works on any phone/tablet and is completely offline  Instantly make data available also to stakeholders/Apps  Anyone with a phone can collect data, ‘citizen enumerators’  Smart phones have more sensors (GPS, QR, barcodes, …)  Often more cost efficient (less logistics and no data entry)  Real-time and online (distant) management A member of CGIAR consortium www.iita.org
  • Examples of mobile data collection systems in IITA      General survey research: Mobenzi Researcher Control the research process via a Web Console Very simple to deploy Powerful set of tools Used for several mixed-methods surveys in the most rural areas of Ghana
  • Examples of mobile data collection systems in IITA     Sustainable Tree Crops Programme – Côte d’Ivoire SMS training session reports SMS seed brokerage system SMS mass alert message A member of CGIAR consortium www.iita.org
  • Examples of mobile data collection systems in IITA         Development of Commercial Farmer Information System Use of mobile data collection system Designed for traceability and certification of cocoa Management info for OLAM (large agrodealer) Sustainability info for cocoa certifiers and clients Research data on cocoa farming for IITA researchers Unique data, large sample Mutually beneficial
  • Examples of mobile data collection systems in IITA  Complex household surveys: Computer Assisted Personal Interviewing with  Total control by researcher on a laptop computer  Use of ruggedized tablets for data collection by enumerators  Successfully used for several surveys in Nigeria A member of CGIAR consortium www.iita.org
  • Examples: making data/knowledge work for farmers  Community Knowledge Worker – Grameen Foundation Development of banana and cocoa farming content for ‘last-mile extension delivery’ in Uganda and Ghana (and beyond).  An additional layer of extension delivery at the community level, makes basic extension information available 24/7 through smart phones. Designed to support national extension, it can be operated by local entrepreneurs as a ‘business-out-of-a-box’. A member of CGIAR consortium www.iita.org
  • Examples: making data/ knowledge work for farmers  DEWN (Tanzania) ‘Digital Early Warning Network’  Farmer groups compiled and sent in monthly disease reports on cassava mosaic disease and cassava brown streak disease using text messages on basic GSM phones.  DEWN has provided an innovative, informative, and relatively cheap means for involving communities in monitoring the health of their own crops. A member of CGIAR consortium www.iita.org
  • Examples: making data/knowledge work for farmers  Combining data collection and extension delivery: CKW on banana diseases, with direct expert follow-up  Mobile phones provide information on how to recognize and control banana diseases (using CKW system)  In exchange data was collected on demographics, awareness, disease presence and GPS coordinates.  If suspicious diseases reported a visit by research and extension staff would follow (IITA/NARO)  Highly efficient in terms of cost, HR and impact.  2991 surveys in 2 months  38 Community Knowledge Workers trained  Awareness raised with 3000+ farmers A member of CGIAR consortium www.iita.org
  • Examples: making data/knowledge work for farmers  Scientific Animations Without Borders  Creates and deploys educational animations on cell phones for those who can’t read. On ‘SusdeViki’ site: 300+ educational materials related to agriculture and life sciences, marketplace literacy and women’s empowerment. Most of these materials are animated videos.
  • How can we enhance the collaboration between Research for Development (R4D) and ICT4Ag?      Combining data collection efforts? Development of content? Development of applications? How to partner? … Lessons learned?  Understand the need of the researcher and of the farmer  Plan it well  It is all about the quality of the intervention & the appropriateness of the technology  Mobile phone extension delivery has to be an add-on to other farmer training and support.
  • THANK YOU A member of CGIAR consortium www.iita.org