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NiMet, Tomorrow.io To Deploy AI For Smarter Farmer Climate Services

By Stella Enenche,Abuja

The Nigerian Meteorological Agency (NiMet) and global weather technology firm Tomorrow.io have announced their collaboration to deploy artificial intelligence driven climate intelligence tailored to the needs of Nigerian farmers.

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According to NiMet on Thursday, a co-designed five-day workshop has been organised where stakeholders are jointly developing the Digital Climate Advisory Service (DCAS) Decision Tree.

The initiative is designed to translate complex climate data into practical guidance that farmers can easily apply in their day-to-day activities.

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Participants drawn from the Federal Ministry of Agriculture and Food Security, the Federal Ministry of Livestock Development and farmer development organisations are working to align NiMet’s 2026 Seasonal Climate Prediction (SCP) with real world farming decisions.

Central to the process is a Crop Decision Tree framework that reflects local cropping patterns and climate risks.

The DCAS will provide automated advisories for scenarios such as delayed rainfall onset, prolonged dry spells and early seasonal rains, enabling farmers to plan planting, irrigation and harvesting more effectively and reduce losses linked to climate variability.

A representative of Tomorrow.io Chief Executive Officer, Brian Miranda, lauded NiMet’s leadership for embracing artificial intelligence to strengthen early warning systems for extreme weather events.

He noted that the approach would enhance preparedness and community safety.

NiMet’s Director-General Prof. Charles Anosike, said the initiative moves climate information beyond forecasts to actionable advice, adding that the goal is to equip farmers with simple, reliable guidance that supports smarter, climate informed decisions.

The workshop will conclude with a technical session to finalise the DCAS Decision Tree, positioning NiMet to deliver farmer centred, technology driven climate advisories that support food security and agricultural resilience.

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