AKILIMO app and paper decision support tools
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A digital service provides tailored agronomic advice to cassava growers through various decision support tools (DST), including printable guides, a smartphone app, and SMS messages. The DST use a cloud-based prediction engine to extrapolate recommendations based on farmer inputs and predict responses to interventions. Printable guides offer simplified recommendations that can be printed for farmers, while the smartphone app allows extension workers to provide more granular, dynamic recommendations to farmers by collecting input data offline. The tools aim to help farmers better understand the interaction between agronomy and their local environment.
AKILIMO app and paper decision support tools
- 2. Cassava growers Extension worker Cloud-based prediction engine Extrapolate recommendations Predict response to intervention Understand Agronomy × Environment Printable guides / maps Smartphone app Short code messages IVR DB logging requests : a digital service to provide tailored agronomic advice
- 3. Our DST formats app printable guides
- 5. Printable guides • Simplified versions of the digital versions • Less dynamic than the digital tools: some input variables are fixed • Can be printed and taken home by the farmer • Combines recommendations with accompanying instructions • Higher retention and understanding of the logic of the tool • Attractive for extension workers to use as training material • Customizable for partners with logos and product brands
- 6. Accompanied by farmer’s worksheet Black & white version to simplify calculation of the recommendations. Can be completed by the farmer with the help of an extension worker.
- 7. Annexes: tables and maps
- 8. The AKILIMO app Available for android on google play store
- 9. The AKILIMO app • Intended for use by trained extension workers • Most complex version of the decision support tool, highest granularity and fully tailored recommendations • All variables are dynamic, some are compulsory, for others default values are available • All input data collected offline and queued, sent to an R server when online, recommendations then calculated and returned • Recommendations shown within the app, and/or sent by email in a pdf report, or by SMS • Refers to training videos for accompanying instructions
- 12. Cassava growers Extension worker Cloud-based prediction engine Extrapolate recommendations Predict response to intervention Understand Agronomy × Environment Printable guides / maps Smartphone app DB logging requests : a digital service to provide tailored agronomic advice
- 13. You have a job to do… On a green card, note down what positively surprised you. On a yellow card, note down suggestions for further improvement to the modelling framework or the validation exercise setup. On a red card, note down critical issues that need addressing. Indicate whether your comment applies to a format / partner, or is cross-cutting / applies to all formats / partners.