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Digital Platform for fish disease
monitoring
T.S Amjath Babu,
Agricultural Economist (Modelling and Targeting)
Coordinator – CGIAR COVID-19 Hub
Digital Platform for fish disease
monitoring
§ CGIAR-COVID-19 Hub under Agriculture for Nutrition and Health
§ Digital disease monitoring of crop, livestock and fish diseases in
Bangladesh is a part of CGIAR COVID-19 Hub initiatives
§ Digital disease monitoring (crop, fish and livestock) can take a
key role in building resilience as hence contributing to
Sustainable aquaculture and One-health approach
§ All interventions leveraged to existing projects and fish disease
work is mapped to Pillar 4 and 5 of WF-CEFAS-ODA one health
project.
CGIAR COVID-19 hub
https://a4nh.cgiar.org/covidhub/
Digital crop disease monitoring
§ First step: Training extension agents in crop disease diagnosis and
reporting
§ Plant clinics and data uploads through plantvise mobile application (CABI)
§ Creating map interface for DAE ( through API) Biweekly bulletins
§ Second step: Real time data through AI (mobile image based disease
recognition)
§ Testing AI platform in Bangladesh and training extension agents and
farmers and linking data to the map interface of DAE. Creating hotspot
alerts for extension officers.
Digital fish disease monitoring
§ Generating disease locations data is the key
WorldFish -MOUs with data sharing agreement
with key labs (disease and location) .
§ Telephone surveys/chat bots/IVR to generate
disease intelligence from extension officers and
input dealers
§ Integrating the data to map interface – Linked to
Pillar 4..
§ Disease maps and hotspot advisory for DoF
Digital fish disease monitoring
§ Disease intelligence
§ Antibiotic sales data and analytics to identify spikes.
§ Fish quality control data analytics (antibiotic trace and
location)
§ Webscrapping on fish diseases
§ Creating data input windows in mobile fish disease advisory
applications (Considered for livestock)
§ Introduction of rapid disease detection systems to create
validated data on fish diseases
Thank you
@
@amjathbabu
https://www.cimmyt.org/people/t-s-amjath-babu/
t.amjath@cgiar.org

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2.08_Amjath Babu_Digital Platform for fish disease monitoring

  • 1. Digital Platform for fish disease monitoring T.S Amjath Babu, Agricultural Economist (Modelling and Targeting) Coordinator – CGIAR COVID-19 Hub
  • 2. Digital Platform for fish disease monitoring § CGIAR-COVID-19 Hub under Agriculture for Nutrition and Health § Digital disease monitoring of crop, livestock and fish diseases in Bangladesh is a part of CGIAR COVID-19 Hub initiatives § Digital disease monitoring (crop, fish and livestock) can take a key role in building resilience as hence contributing to Sustainable aquaculture and One-health approach § All interventions leveraged to existing projects and fish disease work is mapped to Pillar 4 and 5 of WF-CEFAS-ODA one health project. CGIAR COVID-19 hub https://a4nh.cgiar.org/covidhub/
  • 3. Digital crop disease monitoring § First step: Training extension agents in crop disease diagnosis and reporting § Plant clinics and data uploads through plantvise mobile application (CABI) § Creating map interface for DAE ( through API) Biweekly bulletins § Second step: Real time data through AI (mobile image based disease recognition) § Testing AI platform in Bangladesh and training extension agents and farmers and linking data to the map interface of DAE. Creating hotspot alerts for extension officers.
  • 4. Digital fish disease monitoring § Generating disease locations data is the key WorldFish -MOUs with data sharing agreement with key labs (disease and location) . § Telephone surveys/chat bots/IVR to generate disease intelligence from extension officers and input dealers § Integrating the data to map interface – Linked to Pillar 4.. § Disease maps and hotspot advisory for DoF
  • 5. Digital fish disease monitoring § Disease intelligence § Antibiotic sales data and analytics to identify spikes. § Fish quality control data analytics (antibiotic trace and location) § Webscrapping on fish diseases § Creating data input windows in mobile fish disease advisory applications (Considered for livestock) § Introduction of rapid disease detection systems to create validated data on fish diseases