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In most developing countries, a huge proportion of the national food basketis supported by small subsistence agricultural systems. A major challenge tothese systems is disease and pest attacks which have a devastating effect onthe smallholder farmers that depend on these systems for their livelihoods. Akey component of any proposed solution is a good disease surveillance network.However, current surveillance efforts are unable to provide sufficient data formonitoring such phenomena over a vast geographic area efficiently andeffectively due to limited resources, both human and financial. Crowdsourcingwith farmer crowds that have access to mobile phones offers a viable option toprovide all year round real-time surveillance data on viral disease and pestincidence and severity. This work presents a mobile ad hoc surveillance systemfor monitoring viral diseases and pests in cassava. We present results from apilot in Uganda where this system was deployed for 76 weeks. We discuss theparticipation behaviours of the crowds with mobile smartphones as well as theeffects of several incentives applied.

Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country