2026-10-14T09:25:17Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33718554 2026-09-14T04:53:53Z category_7 category_8 category_19 category_21 category_272 category_45 category_734 category_106 category_132 portal_87 item_type_3 month_year_09_2026

Scaling climate-smart agriculture through multi-channel advisory services: economic evaluation of weather information systems in sub-Saharan Africa Rimnoma S. Ouedraogo (24867933) Bipana Paudel Timilsena (24867936) Nebnoma R. Tiendrebeogo (24867939) Derek Morr (24867942) David P. Hughes (7590992) Medicine Microbiology Pharmacology Biotechnology Environmental Sciences not elsewhere classified Sociology Biological Sciences not elsewhere classified Science Policy Infectious Diseases Cost-effectiveness analysis climate information services digital advisory services Kenya Burkina Faso <p>Smallholder agriculture in sub-Saharan Africa is 95% rain-fed and exposed to climate variability. This post-implementation evaluation applies activity-based costing to weather advisory services delivered by PlantVillage in Kenya and Burkina Faso from 2022 to 2024 across television, radio, short message service (SMS), and community-based channels. A combined investment of USD 551,966 reached 9.41 million farmers at confirmed exposure and an estimated 14.5 million under a moderate-reach scenario (USD 0.038 per farmer). Because extended reach relies on literature-derived multipliers rather than direct measurement, we report a sensitivity range of USD 0.034 to 0.058; even at the conservative end, the cost advantage over Farmer Field Schools (USD 36 to 70 per participant) remains a factor of 620 to 1,200. Mass media achieved the lowest unit cost (USD 0.027 to 0.031), with evidence limited to confirmed exposure, whereas SMS supported intensive engagement at USD 0.60. In a convenience sample of 4,272 registered <i>iShamba</i> users in Kenya, 83.7% (<i>n</i> = 3,577) reported that advisories influenced their decisions, predominantly planting timing (51%) and farm-activity planning (23%). No comparable data were collected in Burkina Faso, and channel contributions appear complementary rather than demonstrably synergistic. Yields and income were not measured; causal impact requires experimental and longitudinal designs.</p> 2026-09-14T04:53:53Z Dataset Dataset 10.6084/m9.figshare.33718554.v1 https://figshare.com/articles/dataset/Scaling_climate-smart_agriculture_through_multi-channel_advisory_services_economic_evaluation_of_weather_information_systems_in_sub-Saharan_Africa/33718554 CC BY 4.0