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Demonstrates improved potato yields and reduced pesticide use in small-scale farms through a forecasting model integration.
Late blight, caused by Phytophthora infestans, is a major threat to potato production in Rwanda, severely impacting yields and farmer livelihoods. In response, we adapted and piloted the integration of the potato late blight forecasting model into the existing Meteo Rwanda weather and climate services platforms, inspired by the CARAH model successfully used in Belgium and some 15 provinces all over China. Three automatic weather stations were installed, and disease forecasting was validated on pilot plots in three sites namely Burera, Musanze, and Nyabihu Districts. The yield and the quality of the produced potatoes were analysed. The results from this study revealed that, the application of the model significantly contributed to reduced pesticide use by 37.5%, increased yields by 54%, and reduced disease severity. This study demonstrates that a climate-smart, data-driven approach can sustainably manage late blight in Rwanda and increase potato yields in small-scale farmers’ fields.
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Ndisanze et al. (2026) studied this question.
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