Cambodian Skills Delivery Model

SEAL National Course Catalogue · MLVT / National Training Board

Sector Frameworks

1,164

Qualifications

15,161

Competency Units

10,938

Elements

41,782

Learning Outcomes

2,822

Assessment Packages

Interpret and use agricultural data

KHU-AGR-0016

Australian Equivalent

AHCAGB523

Elements

Learning Outcomes

This unit of competency describes the skills and knowledge required to identify, interpret, enter and use agricultural data, identify and address data gaps, and review agricultural data. The unit applies to individuals who apply specialised skills and knowledge to the interpretation and implementation of agricultural data, and take personal responsibility and exercise autonomy in undertaking complex work. They analyse and synthesise information, and design and communicate solutions to sometimes complex problems. All work must be carried out to comply with workplace procedures, health and safety in the workplace requirements, legislative and regulatory requirements, and sustainability and biosecurity practices. No licensing, legislative or certification requirements apply to this unit at the time of publication.

Elements & Learning Outcomes

E1Identify, access and apply agricultural data

0016.E1.O1Discuss workplace business objectives, goals and farming system with business owner or land manager to determine purpose of information being sought

0016.E1.O2Identify existing sources of agricultural data available in the workplace to support workplace business objectives

0016.E1.O3Review and select appropriate software programs or applications (app) to meet workplace business objectives

0016.E1.O4Access existing agricultural data and enter into software program or app

0016.E1.O5Create maps and summary reports using existing data

E2Interpret and explain agricultural data

0016.E2.O1Interpret maps or reports to identify opportunities and limitations for operational improvements that support business objectives

0016.E2.O2Conduct field work to ground truth data and record interpretations of data for future use

0016.E2.O3Document data results using appropriate interpretation and presentation techniques

0016.E2.O4Discuss and explain data results and information with business owner or land manager

E3Analyse agricultural data

0016.E3.O1Collect and analyse data to determine significance of results

0016.E3.O2Undertake simple statistical analysis to detect data outliers, imbalances in generated data sets and identify erroneous data points, including determining spatial density of the managed data set

0016.E3.O3Produce variability maps from suitable data sets

0016.E3.O4Discuss and recommend solutions utilising agricultural data, and present to business owner or land manager for approval

E4Identify and address data gaps

0016.E4.O1Identify validity and reliability, and gaps in existing agricultural data

0016.E4.O2Identify solutions to address data gaps utilising existing sources

0016.E4.O3Identify and cost hardware and software solutions to address data gaps where required

0016.E4.O4Discuss and recommend solutions and seek approval from business owner or land manager

E5Use agricultural data

0016.E5.O1Collect and organise agricultural data and enter into software program or app

0016.E5.O2Generate maps and reports for agricultural activities for review and discussion with key business personnel

0016.E5.O3Incorporate agricultural data into business operations

0016.E5.O4Determine if corrective action is required and take appropriate action

E6Review and report agricultural data

0016.E6.O1Review production data to identify changes in productivity as a result of using agricultural data, and document results

0016.E6.O2Identify opportunities for improvements using agricultural data

0016.E6.O3Report results to business owner or land manager