PRISE: Pest Risk Information SErvice

Transcription

1 PRISE: Pest Risk Information SErvice Leveraging ICT tools and Earth Observation Satellite data for early warning of pest outbreaks: Extension and Pest Risk Information in Africa Oronje ML., Agwanda C., Finegold C., Ruffhead, H., Chacha D., Oppong- Mensah B., Phiri N,CABI 2 nd Phytosanitary Conference 4 th -8 th June 2018 KEPHIS Headquarters Karen Nairobi, Kenya,

2 The problem Worldwide, over 500 million smallholders provide food for ⅔ of the earth's population Achieving zero hunger by 2030 depends on increasing the productivity of these smallholder farmers but their crops face a significant threat An estimated 40% of the world s crops are lost to pests, hampering farmers ability to feed their families and sell their crops. We already have weather forecasts, pollen forecasts and UV forecasts, but just imagine if farmers had access to pest forecasts too.

3 Our solution A Pest Risk Information Service (PRISE) for sub- Saharan Africa Combines: Earth Observation technology Plant health modelling, and Real-time field observations To deliver tailored pest alerts and actionable advice to farmers when and where they need it and improve their livelihoods by reducing crop losses caused by pests across six sub-saharan African countries (Kenya, Ghana, Zambia +3)

4 PRISE is a five year project, funded by the UK Space Agency s International Partnerships Programme UK consortium CABI Assimila Kings College London CEDA International partners Plant Protection and Regulatory Services Directorate (Ghana) Kenya Agricultural and Livestock Research Organisation Ministry of Agriculture, Livestock and Fisheries (Kenya) Zambia Agriculture Research Institute

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8 How does it work?

9 Iterative design Baseline Knowledge Vision Population Gold October 2017 v1.0 October 2018 v2.0 October 2019 v3.0 October 2020 v4.0 October 2021 v5.0 Each year we will add more: Pests/crops System features Users and dissemination channels

10 PRISE System Components INPUTS Earth Observation data Open Source Meteorological data GIS data Crowd sourcing Pest data Pest Development Models PRISE System Risk Models OUTPUTS Pest Risk in each region

11 Data Ingest Earth Observation data Open Source Meteorological data GIS data Crowd sourcing Pest data AgroMet DataCube Daily ingest of data for PRISE. Re-grids data to give consistent spatial resolution. Data from many different sources can be retrieved simultaneously.

12 Insect pest development Ref:

13 Crop pests of focus Maize- Stem borers, FAW Beans- Bean fly and leaf miners Tomatoes- Tuta absoluta Field Calibration and Validation of pest presence and development

14 Risk Prediction Pest/crop data Calculated plant growth Geospatial data Calculated pest growth (generations) and risk

15 Some photos from calibration and validation field observations

16 Information Dissemination Targeted users Plant doctors equipped them with tablets Extension agents Other users including policy makers Dissemination channels Radio including community radios SMS Websites Exploring wider use ICTs tools collect field observations and to reach many farmers

17 PRISE v1 ( Baseline ) alerts: pest forecast chatbot Target audience for first release: Plantwise Plant Doctors and other extension workers Delivery channel: Chatbot in Telegram messaging programme Weekly forecasts of pest development for each of the key pests prioritised by in-country partners We currently have over 600 users receiving PRISE pest alerts

18 Incorporating real-time feedback on pest alerts Follow-up surveys sent a few days after forecasts to get feedback from users on what they are observing in their district Model updates on the pest, incorporating user-contributed field data in real time

19 Next steps for PRISE Extensive fieldwork in project countries to test PRISE forecasts and validate and calibrate the model Pest experiments to establish the lifecycles of new pest to be added to PRISE- FAW, Cocoa mirids, bean fly EO data validation (land surface temperature and rainfall) Annual cycle: release new version, user testing, stakeholder workshops, priority setting, planning for next year

20 The PRISE team UK consortium: International partners:

21 We wish to acknowledge the support of our funders and partners who make PRISE possible. Core donor: Thank you CABI is an international intergovernmental organisation, and we gratefully acknowledge the core financial support from our member countries (and lead agencies) including: Ministry of Agriculture, People s Republic of China

22 شكرا جزيال ありがとう danke kiitos merci श क र य zikomo xie-xie thank you tak urakoze ke itumetse terima kasih obrigado efharistó gracias zikomo dhanyawaad asante CABI is an international intergovernmental organisation, and we gratefully acknowledge the core financial support from our member countries and lead agencies including: Ministry of Agriculture, People s Republic of China