Changes

== Use Case Objectives ==

== Use Case Objectives ==

[[File:Business_process.png|alt=|right|406x406px]]

[[File:Business_process.png|alt=|right|406x406px]]

The quality control process for CTD data is a highly time-intensive task. An oceanographer performs a visual inspection to identify poor-quality scans in each CTD profile using graphical editing software. As the task requires careful inspection and the CTD profiles collected during one year number in the thousands, this work consumes a large amount of time and effort. To ease this burden, we have produced an AI tool that is capable of flagging the poor-quality CTD scans such that these flags can be displayed to the oceanographer within the graphical editing software. This allows for the task to be sped up by providing a quick reference for the areas in the CTD profiles where attention is required. By providing flags for assisted decision-making rather than using the model for fully automated decision-making, we preserve the ability of oceanographer to use their domain expertise to make the best possible decisions. As the model becomes more mature and its performance improves, we may explore options to increase the degree of automation.          

The quality control process for CTD data is a highly time-intensive task. An oceanographer performs a visual inspection to identify poor-quality scans in each CTD profile using graphical editing software. As the task requires careful inspection and the CTD profiles collected during one year number in the thousands, this work consumes a large amount of time and effort. To ease this burden, we have produced an AI tool that is capable of flagging the poor-quality CTD scans such that these flags can be displayed to the oceanographer within the graphical editing software. This allows for the task to be sped up by providing a quick reference for the areas in the CTD profiles where attention is required. By providing flags for assisted decision-making rather than using the model for fully automated decision-making, we preserve the ability of oceanographer to use their domain expertise to make the best possible decisions. As the model becomes more mature and its performance improves, we may explore options to increase the degree of automation.                                  

   

   

* '''Machine Learning Task''': Flag in advance the scans to be deleted during CTD quality control

* '''Machine Learning Task''': Flag in advance the scans to be deleted during CTD quality control