Bean crop cycle records from technology validation areas and seed banks
<|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 dataset contains 721 crop cycles of community banks of seeds for beans in 9 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2019. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, region, and precipitation were also recorded. The weather and soil variables were extracted from INETER (Instituto Nicaragüense de Estudios Territoriales), GLDAS (Global Land Data Assimilation System) and Chirp' . 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","Beans","Crop yield","Digital Inclusion","Latin America and the Caribbean","Multifunctional Landscapes","Weather"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains 721 crop cycles of community banks of seeds for beans in 9 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2019. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, region, and precipitation were also recorded. The weather and soil variables were extracted from INETER (Instituto Nicaragüense de Estudios Territoriales), GLDAS (Global Land Data Assimilation System) and Chirp' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains 721 crop cycles of community banks of seeds for beans in 9 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2019. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, region, and precipitation were also recorded. The weather and soil variables were extracted from INETER (Instituto Nicaragüense de Estudios Territoriales), GLDAS (Global Land Data Assimilation System) and Chirp
Agriculture; Beans; Crop yield; Digital Inclusion; Latin America and the Caribbean; Multifunctional Landscapes; Weather