Amanda-Sibanda/agriBORA-Commodity-Price-Forecasting

Domain:

agriculture

Record type:

dataset

Creator:

Ama

Host:

Smallholder farmers in Kenya face maize price volatility and post-harvest losses. Using historical weekly prices, we build a model to forecast two weeks ahead for Kiambu, Kirinyaga, Mombasa, Nairobi, and Uasin-Gishu, helping farmers time sales, boost earnings, and improve agriBORA’s market insights.. # agriBORA-Commodity-Price-Forecasting Smallholder farmers in Kenya face maize price volatility and post-harvest losses. Using historical weekly prices, we build a model to forecast two weeks ahead for Kiambu, Kirinyaga, Mombasa, Nairobi, and Uasin-Gishu, helping farmers time sales, boost earnings, and improve agriBORA’s market insights..

Visit

github.com

Languages

Gikuyu Kenyan Sign Language Swahili, Coastal

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Using historical prices of dry maize in Kenya, your task is to develop a machine learning solution t

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