By combining numerical weather model outputs from the Bangladesh Meteorological Department with disease growth and infection models and algorithms providing location-specific crop management advice, farmers can benefit from climate information.
Stage 4: Transition to Scale
Agriculture, Cultivation & Tools, Seeds & Stock and 2 MoreSEE ALL
Agriculture, Cultivation & Tools, Seeds & Stock, Soil Management and Agriculture Water ManagementSEE LESS
India, Nepal and Bangladesh
India, Nepal and BangladeshSEE LESS
Countries Implemented In
Farmers in South Asia and in Bangladesh and Nepal in particular lack access to timely, location-specific, actionable and simple to understand climate information that, when used properly, can increase their productivity and resilience.
These innovations combine numerical weather model forecasting outputs with algorithms and automated messaging to push information on disease and climatic risks to extension agents across Bangladesh five days in advance of their occurrence. This permits farmers to take climate-smart and preventative action to mitigate climatic risks to their farms.
Extension agents and smallholder farmers
There are currently no other comparable and national scale predictive systems for wheat blast disease or sub-district level forecasts for the whole of Bangladesh. These innovations are therefore truly unique, and cutting edge.