Climate Smart Agriculture Country Profile Data
<|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:'This article describes a Climate-Smart Agriculture (CSA) database collected from 34 countries, 16 in Africa, 7 in Asia and 11 in Latin America and the Caribbean (LAC) by the International Center for Tropical Agriculture (CIAT) in collaboration with various stakeholders in respective countries. The dataset is a combination of both quantitative and qualitative data collected via a participatory approach that involved several players from different levels; farmers, input suppliers, processors, traders, policymakers, and donors. Primary data was collected from country experts in interviews, focus group discussions and workshops; a semi-structured survey questionnaire was used to conduct interviews and guide focus group discussions. A structured questionnaire was used to collect data in workshops. Secondary data on various agricultural indic' . 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" : ["Africa","Asia","Climate Action","Climate-smart agriculture","Latin America and the Caribbean","participatory approach"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This article describes a Climate-Smart Agriculture (CSA) database collected from 34 countries, 16 in Africa, 7 in Asia and 11 in Latin America and the Caribbean (LAC) by the International Center for Tropical Agriculture (CIAT) in collaboration with various stakeholders in respective countries. The dataset is a combination of both quantitative and qualitative data collected via a participatory approach that involved several players from different levels; farmers, input suppliers, processors, traders, policymakers, and donors. Primary data was collected from country experts in interviews, focus group discussions and workshops; a semi-structured survey questionnaire was used to conduct interviews and guide focus group discussions. A structured questionnaire was used to collect data in workshops. Secondary data on various agricultural indic' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This article describes a Climate-Smart Agriculture (CSA) database collected from 34 countries, 16 in Africa, 7 in Asia and 11 in Latin America and the Caribbean (LAC) by the International Center for Tropical Agriculture (CIAT) in collaboration with various stakeholders in respective countries. The dataset is a combination of both quantitative and qualitative data collected via a participatory approach that involved several players from different levels; farmers, input suppliers, processors, traders, policymakers, and donors. Primary data was collected from country experts in interviews, focus group discussions and workshops; a semi-structured survey questionnaire was used to conduct interviews and guide focus group discussions. A structured questionnaire was used to collect data in workshops. Secondary data on various agricultural indic
Africa; Asia; Climate Action; Climate-smart agriculture; Latin America and the Caribbean; participatory approach