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Nigeria
April 14, 2024
AgroNigeria
News

NiMet Signs MoU on Daily Climate Intelligence for Farmers 

NiMet has entered into a Memorandum of Understanding (MoU) with Tomorrow.io, a prominent weather intelligence company based in Boston, Massachusetts, USA, to provide climate intelligence on a  daily basis for users, particularly benefiting farmers.

This collaboration extends to various regions, including Africa and the Middle East, focusing on areas such as commercializing weather data, enhancing the accuracy of weather and climate forecasts, and implementing artificial intelligence (AI) in weather and climate intelligence.

During the signing ceremony at NiMet’s headquarters in Abuja, Prof. Charles Anosike, the Director General and Chief Executive Officer, expressed that the MoU would assist NiMet in fulfilling the mandate from Minister Festus Keyamo (SAN) related to revenue generation and improved safety within the aviation and aerospace sector.

“As an agency, NiMet is already doing a lot. We are always on the lookout for partners that will help us improve and expand on our services. AI and technology are playing leading roles in weather and climate forecasts. This partnership with Tomorrow.io will help us to do more for our various stakeholders across the socio-economic sectors we serve, including aviation, agriculture, marine, oil and gas, construction, academia,” he said.

Mr. Yaniv Gelnik, Tomorrow.io’s Director of Africa Expansion, highlighted that the company’s experience in Kenya and other served countries demonstrates the feasibility of downsizing weather and climate information on a daily basis for users, particularly benefiting farmers. 

He emphasized that this approach aids in planning by enabling users to receive daily weather intelligence on their mobile handsets, irrespective of their location and in a language of their preference.

“That’s part of the value proposition that Tomorrow.io is bringing to the partnership with NiMet. AI allows for precise, unique, efficient and faster weather and climate forecasts compared to current systems and models. This will be of immense value to NiMet’s value-chain stakeholders,” he added.

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