This document discusses using crop-climate models to help farmers adapt cropping systems to climate variability. It describes how crop yields are sensitive to climate and how modeling can provide local agroclimatic forecasts and recommendations on variety selection and planting dates. Big data from rice farms is used to understand site-specific climate impacts and develop management advice. The approach is being implemented with thousands of farmers in Colombia to close yield gaps and avoid losses from climate events through seasonal forecasting services and local agroclimatic bulletins.
The document discusses climate services in Latin America and the Caribbean (LAC) region. It describes major activities including predicting climate at seasonal timescales, predicting crop yields, and assessing farmer and extension agent information needs. It presents results from a predictability study of climate across four departments in Colombia that grow rice and maize. The study found the greatest predictability in the Inter-Andean valleys. It also discusses assessing information needs through capacity building and different information diffusion channels.
This document discusses using crop-climate models to help farmers adapt cropping systems to climate variability. It describes how crop yields are sensitive to climate and how modeling can provide local agroclimatic forecasts and recommendations on variety selection and planting dates. Big data from rice farms is used to understand site-specific climate impacts and develop management advice. The approach is being implemented with thousands of farmers in Colombia to close yield gaps and avoid losses from climate events through seasonal forecasting services and local agroclimatic bulletins.
The document discusses climate services in Latin America and the Caribbean (LAC) region. It describes major activities including predicting climate at seasonal timescales, predicting crop yields, and assessing farmer and extension agent information needs. It presents results from a predictability study of climate across four departments in Colombia that grow rice and maize. The study found the greatest predictability in the Inter-Andean valleys. It also discusses assessing information needs through capacity building and different information diffusion channels.