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  • 1. Guide to the Census of Agriculture
    Surveys and statistical programs – Documentation: 32-26-0002
    Description:

    This reference guide may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the Census of Agriculture.

    It provides an overview of the Census of Agriculture communications, content determination, collection, processing, data quality evaluation and dissemination activities. It also summarizes the key changes to the census and other useful information.

    Release date: 2022-04-14
  • 2. Application of quality control in ICR data capture: 2001 Canadian Census of Agriculture Archived
    Articles and reports: 12-001-X20040027750
    Description:

    Intelligent Character Recognition (ICR) has been widely used as a new technology in data capture processing. It was used for the first time at Statistics Canada to process the 2001 Canadian Census of Agriculture. This involved many new challenges, both operational and methodological. This paper presents an overview of the methodological tools used to put in place an efficient ICR system. Since the potential for high levels of error existed at various stages of the operation, Quality Assurance (QA) and Quality Control (QC) methods and procedures were built into this operation to ensure a high degree of accuracy in the captured data. This paper describes these QA / QC methods along with their results and shows how quality improvements were achieved in the ICR Data Capture operation. This paper also identifies the positive impacts of these procedures on this operation.

    Release date: 2005-02-03
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  • 1. Application of quality control in ICR data capture: 2001 Canadian Census of Agriculture Archived
    Articles and reports: 12-001-X20040027750
    Description:

    Intelligent Character Recognition (ICR) has been widely used as a new technology in data capture processing. It was used for the first time at Statistics Canada to process the 2001 Canadian Census of Agriculture. This involved many new challenges, both operational and methodological. This paper presents an overview of the methodological tools used to put in place an efficient ICR system. Since the potential for high levels of error existed at various stages of the operation, Quality Assurance (QA) and Quality Control (QC) methods and procedures were built into this operation to ensure a high degree of accuracy in the captured data. This paper describes these QA / QC methods along with their results and shows how quality improvements were achieved in the ICR Data Capture operation. This paper also identifies the positive impacts of these procedures on this operation.

    Release date: 2005-02-03
Reference (1)

Reference (1) ((1 result))

  • 1. Guide to the Census of Agriculture
    Surveys and statistical programs – Documentation: 32-26-0002
    Description:

    This reference guide may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the Census of Agriculture.

    It provides an overview of the Census of Agriculture communications, content determination, collection, processing, data quality evaluation and dissemination activities. It also summarizes the key changes to the census and other useful information.

    Release date: 2022-04-14
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