Upland rice from technological validation areas and community banks of seeds in Nicaragua
<|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 438 crop cycles for upland rice in 22 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2020. In the dataset, 100 and 338 records came from technological validation areas and community banks of seeds, respectively. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, and region were also recorded. Finally, Worclim and soil data layers from INETER (Instituto Nicaragüense de Estudios Territoriales) were used to integrated weather and soil information for each crop cycl' . 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","Crop yield","Digital Inclusion","Latin America and the Caribbean","Multifunctional Landscapes","Upland rice","Weather"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains 438 crop cycles for upland rice in 22 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2020. In the dataset, 100 and 338 records came from technological validation areas and community banks of seeds, respectively. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, and region were also recorded. Finally, Worclim and soil data layers from INETER (Instituto Nicaragüense de Estudios Territoriales) were used to integrated weather and soil information for each crop cycl' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains 438 crop cycles for upland rice in 22 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2020. In the dataset, 100 and 338 records came from technological validation areas and community banks of seeds, respectively. Each location was georeferenced. Variables such as cultivar, planting practices, harvest date, and region were also recorded. Finally, Worclim and soil data layers from INETER (Instituto Nicaragüense de Estudios Territoriales) were used to integrated weather and soil information for each crop cycl
Agriculture; Crop yield; Digital Inclusion; Latin America and the Caribbean; Multifunctional Landscapes; Upland rice; Weather