Cropping events of maize in Cordoba-Colombia
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data represent 804 cropping events of maize planting in Córdoba - Colombia from 2013 to 2016. Each cropping event has information on climate, soil, and agronomic management. The data was collected with the aim of determining the factors that affect the variation in the yield of maize. The dataset was created through a collaboration project among International Center for Tropical Agriculture CIAT, the Colombian National Cereals, and Legumes Federation (FENALCE) and the Colombian Ministry of Agriculture and Rural Development (MADR)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Agriculture","Climate Change, Agriculture and Food Security - CCAFS","Data-driven","Decision and Policy Analysis - DAPA","Latin America and the Caribbean","Maize","Soil","Weather"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data represent 804 cropping events of maize planting in Córdoba - Colombia from 2013 to 2016. Each cropping event has information on climate, soil, and agronomic management. The data was collected with the aim of determining the factors that affect the variation in the yield of maize. The dataset was created through a collaboration project among International Center for Tropical Agriculture CIAT, the Colombian National Cereals, and Legumes Federation (FENALCE) and the Colombian Ministry of Agriculture and Rural Development (MADR)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data represent 804 cropping events of maize planting in Córdoba - Colombia from 2013 to 2016. Each cropping event has information on climate, soil, and agronomic management. The data was collected with the aim of determining the factors that affect the variation in the yield of maize. The dataset was created through a collaboration project among International Center for Tropical Agriculture CIAT, the Colombian National Cereals, and Legumes Federation (FENALCE) and the Colombian Ministry of Agriculture and Rural Development (MADR)
Agriculture; Climate Change, Agriculture and Food Security - CCAFS; Data-driven; Decision and Policy Analysis - DAPA; Latin America and the Caribbean; Maize; Soil; Weather