Integration of the CARAH model for potato late blight management into the Meteo Rwanda platform

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.

Authors

Institutions

Publication Details

Journal
Discover Agriculture
Published
2026-04-01
DOI
https://doi.org/10.1007/s44279-026-00557-9
Primary Topic
Plant Pathogens and Resistance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of the CARAH model for potato late blight management into the Meteo Rwanda platform

Maxime Bonnave, Daniel Niyikiza, Marc Antoine Ndisanze, Valentin Uwishema et al.
Discover Agriculture
Plant Pathogens and Resistance
article

Integration of the CARAH model for potato late blight management into the Meteo Rwanda platform

Maxime Bonnave, Daniel Niyikiza, Marc Antoine Ndisanze, Valentin Uwishema, Joselyne Byukusenge, Francois Serneels, Sandrine Bazizane, Dieudonne Ngabitsinze, Enatha Mutimukeye, Cyrille Andre Vryghem, Claude Jean Habimana, Claude Maniragaba
article en

Abstract

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.

Discover AgricultureVol. 4(1)
International Gorilla Conservation Programme (RW), Haute École Provinciale de Hainaut Condorcet (BE), Rwanda Agriculture Board (RW), INES-Ruhengeri (RW)
National Commission for Science and Technology
Climate action
Openalex Percentile: Top 34%
Plant Pathogens and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integration of the CARAH model for potato late blight management into the Meteo Rwanda platform — Maxime Bonnave, Daniel Niyikiza, et al. · Discover Agriculture (2026) | TGRS Research Map | TGRS