AgroPulse

About AgroPulse Nigeria

AgroPulse Nigeria is a mobile-first agricultural and climate intelligence platform designed to serve farmers, agribusinesses, cooperatives, extension officers, and emergency planners across all 36 Nigerian states and the Federal Capital Territory. The platform delivers real-time flood monitoring, 5-day weather outlooks, stream gauge readings from NIHSA, interactive flood risk maps, community-reported incident feeds, and road condition tracking to help communities prepare for and respond to climate-related disruptions.

Beyond weather and flood intelligence, AgroPulse Nigeria provides a comprehensive agricultural toolkit including a Planting Advisor with zone-specific crop calendars, seasonal planting alerts delivered via SMS in English and Hausa, a harvest tracking system with predictive yield analytics, a searchable supplier directory, and a preparedness center for emergency planning. The platform is designed to work on low-bandwidth mobile connections and is available as a progressive web app and native mobile application for iOS and Android.

AgroPulse Nigeria is built and maintained by Symbiosis LLC, with AI governance oversight through the Symbiosis GRC Command Center. The platform aggregates data from authoritative sources including the Nigerian Meteorological Agency (NiMET), the Nigeria Hydrological Services Agency (NIHSA), OpenWeatherMap, and ECMWF and GFS weather models. We partner with government agencies, research institutions, NGOs, and development organizations to ensure data accuracy and broaden community reach across the country.

Climate Intelligence

5-day forecasts, flood risk maps, and stream gauge monitoring from NIHSA and NiMET data sources.

Agricultural Tools

Planting advisor, seasonal SMS alerts, harvest tracking, and predictive yield analytics for every agro-ecological zone.

Community Driven

Community incident reporting, supplier directories, and farmer registration to connect local agriculture networks.

AI Governed by Symbiosis LLC GRC Command Center. Data sources: OpenWeatherMap, NIHSA, NiMET, ECMWF/GFS Models.