Replication data for:  No appropriate technology so far for Ricinodendron heudelotii (Baill. Pierre ex Pax) processing in Cameroon: Performance of mechanized kernel extraction
<|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:'Ricinodendron heudelotii kernels are an important source of income for rural women in the humid tropics of Africa. Manual kernel extraction is time consuming and efforts have been made to mechanize the process. However, mechanical damage to kernels remains an issue. Within the socioeconomic and resource ecology context in the central region of Cameroon, a prototype machine for extracting njansang kernels was developed and has been tested since 2007, then evaluated using a learning selection model. Surveys with users and non-users suggested a shift towards male and younger users. The advantages of rapid kernel extraction are partly offset by the requirement to sort out broken kernels, leading to a total time requirement of 60.87 min for manual processing and 2.08 + 39.56 min for mechanical extraction + manual sorting. The technology need' . 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" : ["Adoption","Agroforestry","Cameroon","NTFPs","Smallholder producers"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Ricinodendron heudelotii kernels are an important source of income for rural women in the humid tropics of Africa. Manual kernel extraction is time consuming and efforts have been made to mechanize the process. However, mechanical damage to kernels remains an issue. Within the socioeconomic and resource ecology context in the central region of Cameroon, a prototype machine for extracting njansang kernels was developed and has been tested since 2007, then evaluated using a learning selection model. Surveys with users and non-users suggested a shift towards male and younger users. The advantages of rapid kernel extraction are partly offset by the requirement to sort out broken kernels, leading to a total time requirement of 60.87 min for manual processing and 2.08 + 39.56 min for mechanical extraction + manual sorting. The technology need' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Ricinodendron heudelotii kernels are an important source of income for rural women in the humid tropics of Africa. Manual kernel extraction is time consuming and efforts have been made to mechanize the process. However, mechanical damage to kernels remains an issue. Within the socioeconomic and resource ecology context in the central region of Cameroon, a prototype machine for extracting njansang kernels was developed and has been tested since 2007, then evaluated using a learning selection model. Surveys with users and non-users suggested a shift towards male and younger users. The advantages of rapid kernel extraction are partly offset by the requirement to sort out broken kernels, leading to a total time requirement of 60.87 min for manual processing and 2.08 + 39.56 min for mechanical extraction + manual sorting. The technology need
Adoption; Agroforestry; Cameroon; NTFPs; Smallholder producers