Tree Planting Data 2018 - Kenya
<|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:'In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In addition to monitoring the performance of the restoration option being implemented, a registration of the farmers involved in the project was conducted. A standard household survey was used, assessing both the socio-economic and biophysical characteristics of the households. The farmers were from seven sub-counties across three Kenyan counties. Specifically, the farmers were from Mwala, Yatta and Masinga sub-counties in Machakos County; Mwingi Central and Kitui Rural in Kitui County; and Mbooni East and Kibwezi East in Makueni County.  The present dataset include' . 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" : ["agricultural systems","household survey","tree crops","tree planting"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In addition to monitoring the performance of the restoration option being implemented, a registration of the farmers involved in the project was conducted. A standard household survey was used, assessing both the socio-economic and biophysical characteristics of the households. The farmers were from seven sub-counties across three Kenyan counties. Specifically, the farmers were from Mwala, Yatta and Masinga sub-counties in Machakos County; Mwingi Central and Kitui Rural in Kitui County; and Mbooni East and Kibwezi East in Makueni County.  The present dataset include' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In addition to monitoring the performance of the restoration option being implemented, a registration of the farmers involved in the project was conducted. A standard household survey was used, assessing both the socio-economic and biophysical characteristics of the households. The farmers were from seven sub-counties across three Kenyan counties. Specifically, the farmers were from Mwala, Yatta and Masinga sub-counties in Machakos County; Mwingi Central and Kitui Rural in Kitui County; and Mbooni East and Kibwezi East in Makueni County.  The present dataset include
agricultural systems; household survey; tree crops; tree planting