6. 20100608 hb iita quickwin


Published on

Published in: Business, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide
  • By combining the power of mobile tools, a centralized database, and GIS mapping, field surveillance can be directly linked to the research community to overcome the current gap in timely and comprehensive communication. Such a network of real-time information exchange can:• Enhance scientists’ ability to monitor crop disease outbreaks and disseminate information to farmers in remote areas where regular visits by extension agents and agricultural scientists may not be possible• Decrease the spread of crop disease, especially in high-risk areas affected by endemic and emerging diseases• Empower smallholder farmers to halt crop disease spread through access to timely information• Enable agricultural experts to plan preventative measures in a cost and time-effective manner• Permit scientists to target where to collect plant samples of new or suspicious disease reports (for subsequent confirmatory diagnosis in the laboratory)• Enable scientists and extension agencies to determine the efficacy of recommended control measures• Enable scientists to identify new variants of disease that may be resistant to existing control methods• Enable scientists to prioritize research investment• Provide policy makers and researchers direct information from smallholder farmers (SHF) to prioritize future investments and interventions based on quantified demand
  • Talking Point 1): Bananas provide permanent food and a modest, but continuous cash flow throughout the year, whereas coffee can give a cash boom twice a year, helping farmers pay for larger expenditures such as school fees and farm expenses. Talking Point 2): The IITA-APEP project (2006-08) showed there is a strong need to develop site-specific recommendations in Uganda that address constraints specific to agro-ecology. “Economic evaluations “-- {by IITA and NARO }In sub-Saharan Africa, bananas provide more than 25% of food energy requirements for 100 million+ people.
  • 6. 20100608 hb iita quickwin

    1. 1. Community LevelCrop Disease SurveillanceQuick Win ProjectHein Bouwmeester, Fen Beed, Whitney Gantt8/6/2010<br />
    2. 2. Community Level Crop Disease Surveillance Project<br />Objective:<br />Assess the feasibility of a participatory GIS-enabled plant diagnostics network (and the potential of mobile technologies)<br />to provide a blueprint for how a range of agriculture-focused field organizations can collect data, explain events, predict outcomes, and adapt and refine strategies with more accurate, cost-efficient, and timely information.<br />
    3. 3. Banana Disease & Livelihoods in Uganda<br /><ul><li>Uganda is Africa’s largest producer of banana and a strong correlation exists between banana production, income generation, and food security
    4. 4. Three banana disease pose a serious threat to food security and the livelihoods of millions of farmers in East Africa:
    5. 5. Panama Disease (also known as Fusarium Wilt)
    6. 6. Banana Bacterial Wilt (BBW or BXW)
    7. 7. Banana Bunchy Top Disease (BBTD)
    8. 8. Economic evaluations of the impact of banana bacteria wilt (BBW) reported annual losses of between $70 to $200 million USD for Uganda alone </li></li></ul><li>Plant diseases and pests the biggest constraint<br />
    9. 9. Source: Google - Predict and Prevent<br />
    10. 10. When: <br />GF:<br />Brings network of village-level intermediaries (CKWs) + mobile technologies (GPS units and handsets with the capacity to gather real-time data) and disseminate results and recommendations in rural areas.<br />IITA:<br />Brings expert advice on banana disease identification, prevention, and control to farmers, gives trainings and does GIS analysis that illustrates how disease characteristics and farmer behaviors, attitudes, and knowledge interact.<br />
    11. 11. Diagram of workflow<br />Bidirectional, immediate communication between science (disease diagnosis and control) and practice (grower’s observations and needs)<br />CKW<br /><ul><li>Inexpensive (on site)
    12. 12. Trusted by farmers
    13. 13. Time effective
    14. 14. Give and get info from farmer
    15. 15. More reliable information</li></li></ul><li>Where did we work?<br />Uganda<br />Mbale District<br />Bushenyi District<br />
    16. 16. 1442 surveys in 2 months in Bushenyidistrict <br />
    17. 17. 1549 surveys in 2 months in Mbaledistrict<br />
    18. 18. Samples taken by the 19 CKWs in Bushenyi<br />
    19. 19. Fusarium wilt in Bushenyi district<br />
    20. 20. BXW in Mbale district<br />
    21. 21. BBTV in Bushenyi district<br />
    22. 22. Follow up of suspected results<br />
    23. 23. Wealth of socio-economic data<br />
    24. 24. Achievements:<br />Wealth of validated and geo-referenced data (2991 surveys)<br />38 CKWs comprehensively trained<br />Awareness of +3000 farmers increased through CKW training via manual<br />Adoption of ‘new’ technology and demonstrated its effectiveness<br />Proposal to scale out this pilot to a greater <br />area and incorporate coffee and cassava<br />