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Process Data set: Pineapple production (en) en zh

Key Data Set Information
Location CR
Geographical representativeness description The fresh pineapple supply chain was modeled from various pineapple farms in Costa Rica
Reference year 2007
Name
Pineapple production
Use advice for data set When using this dataset for Life Cycle Assessment, consider the specific practices of chemical fertilizer and pesticide application detailed for the growth stage. Ensure that the moral aspect of chemical usage is understood as it pertains to regional guidelines and certifications. The dataset should be adjusted to reflect any changes in cultivation practices, and variations in yield due to climatic or regional differences. Exclude any post-harvest processes such as transportation, storage, and retail from this dataset to focus solely on the actual cultivation impacts during the specified life stages of pineapple production.
Technical purpose of product or process This dataset describes the cultivation process for pineapple production on a 1-hectare farm in Costa Rica and is intended to be used for environmental impact assessments of fresh pineapple supply chains. It outlines the application of chemical fertilizers and pesticides during the growth stage and the acquisition of pineapple fruit during the harvest stage, which may be applicable for studies in agricultural efficiency, sustainable farming practices, and supply chain optimization.
Classification
Class name : Hierarchy level
  • ILCD: Unit processes / Materials production / Food and renewable raw materials
General comment on data set The pineapple seeds were sown, the chemical fertilizers and pesticides were applied morally in the growth stage, and the pineapple fruit was obtained in the harvest stage.
Copyright No
Owner of data set
Quantitative reference
Reference flow(s)
Functional Unit 1 hectare pineapple garden
Time representativeness
Data set valid until 2008
Technological representativeness
Flow diagram(s) or picture(s)
  • VJuZbVvN3oBh2XxYjeLcoTtHnnf.png Image
LCI method and allocation
Type of data set Unit process, black box
Deviation from LCI method principle / explanations None
Deviation from modelling constants / explanations None
Data sources, treatment and representativeness
Deviation from data cut-off and completeness principles / explanations None
Deviation from data selection and combination principles / explanations None
Deviation from data treatment and extrapolations principles / explanations None
Data source(s) used for this data set
Completeness
Completeness of product model No statement
Validation
Type of review
Dependent internal review
Reviewer name and institution
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2023-12-19T08:45:09+08:00
Publication and ownership
UUID 5bb673c2-f71e-4e9d-9759-efd300d64dfa
Date of last revision 2024-04-20T14:45:45.080618+08:00
Data set version 00.01.005
Permanent data set URI https://lcadata.tiangong.world/showProcess.xhtml?uuid=5bb673c2-f71e-4e9d-9759-efd300d64dfa&version=01.00.000&stock=TianGong
Owner of data set
Copyright No
License type Free of charge for all users and uses

Inputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow Materials production / Organic chemicals 440.0 kg440.0 kg
Product flow Energy carriers and technologies / Crude oil based fuels 37.4 kg37.4 kg
Product flow Materials production / Organic chemicals 401.0 kg401.0 kg
Product flow Materials production / Organic chemicals 61.0 kg61.0 kg
Product flow Materials production / Organic chemicals 998.0 kg998.0 kg
Elementary flow Resources / Resources from ground / Non-renewable element resources from ground 35.0 kg35.0 kg
Product flow Materials production / Agricultural production means 3227.0 kg3227.0 kg

Outputs

Type of flow Classification Flow Location Mean amount Resulting amount Minimum amount Maximum amount
Product flow Materials production / Food and renewable raw materials 57506.0 kg57506.0 kg