Cow-side mating data capture (2016-17)

Project outcomes

Sponsored by DataGene Limited

This project is proudly funded and supported by The Gardiner Foundation


Project title: 
Cow-side mating data capture
Description of the project: 

Improving fertility is one of the priorities of the dairy industry and is a key driver of farm profit. Currently, there is no easy way to capture cow-side mating information and most of this is written on dockets and hand entered later, if it is captured at all. There is a need to automate this so that this information becomes available to help farmers better manage the fertility of their herds. 

The deliverable would be an automate cow-side data capture tool that will have the following capabilities:

  • Voice recognition driven in a noisy, wet, and dirty environment
  • Be capable of scanning bar codes on straws of semen
  • Be capable of scanning RFID ear tags on the cows
  • Communicate with industry databaseCommunicate with standard accounting packages
  • Track observations of fertility related health conditions
  • Be capable of operation without an internet connection

Project brief

Project brief

Sponsored by DataGene Limited

This project is proudly funded and supported by The Gardiner Foundation

Location: 
Bundoora, VIC with some travel to regional Victoria.
Description of the project: 

Improving fertility is one of the priorities of the dairy industry and is a key driver of farm profit. Currently, there is no easy way to capture cow-side mating information and most of this is written on dockets and hand entered later, if it is captured at all. There is a need to automate this so that this information becomes available to help farmers better manage the fertility of their herds. 

The deliverable would be an automate cow-side data capture tool that will have the following capabilities:

  • Voice recognition driven in a noisy, wet, and dirty environment
  • Be capable of scanning bar codes on straws of semen
  • Be capable of scanning RFID ear tags on the cows
  • Communicate with industry databaseCommunicate with standard accounting packages
  • Track observations of fertility related health conditions
  • Be capable of operation without an internet connection

Project outcomes

This project has been closed
Project Aims: 

It is anticipated that this project will deliver the following outcomes to the dairy industry:

  • Increased automation and accuracy of cow-side mating and fertility data
  • Enhance herd management, fertility and mating decisions
  • Increase the volume and accuracy of data available for herd improvement on farm
  • Improve fertility of dairy cows which is a key driver of farm profitability
Faculty or Department: 
Engineering-Electrical & Computer Systems
Engineering-Mechatronics
Information Technology
Medicine, Nursing and Health Sciences
Science
Disciplines: 
Biological Engineering
Biological Science
Biomedical Science
Data Science
Electrical & Computer Systems Engineering
Mechatronics Engineering
Software Development & Software Engineering
Sector: 
Dairy
Employment Type: 
Scholarship

Applications for this project are welcome from penultimate and subsequent year undergraduates, Masters and PhD students (coursework and research) who are enrolled full-time at Monash.

Selection Criteria: 

Your application will be reviewed by senior faculty members and assessed against the following criteria:

  • Quality of covering letter, resume and on-line application form including spelling & grammar
  • Relevance of your degree to the project(s) you select
  • Skills, ability, knowledge and experience relevant to the project (s) you apply for
  • Extra - curricular activities (i.e. sports/clubs & societies/memberships)
  • Career goals & ambitions
  • Academic performance
  • Successful completion of group activity
  • Successful interview with industry partner

 Please note:

  • Scope for MITI projects are determined by the industry partners, this includes student disciplines and whether they require students at undergraduate, Masters or PhD level.
  • The final selection of the MITI project team will be made by the industry partner.
  • Each industry project will run for 12 weeks over the summer vacation period that is December 2016 through to February 2017.
  • If selected you must be available and agree to commit for the entire 12 week period. 
Duration: 
12 weeks
Max number of recipients: 
4
Application process: 

Applications are submitted online via the MITI website and must include a cover letter (no more than one page) and current CV.

 Your cover letter should include the following information:

  • why the project is of particular interest to you
  • an outline of relevant experience either through vacation work, study or other extra curricula activities
  • what you can contribute as a member of the team

DataGene Limited

DataGene is a new industry organisation which draws together all relevant herd improvement functions that are pre-competitive and generate increased value for Australian dairy farmers. The vision of this organisation is to re-shape the role of herd improvement in Australia in a design that generates wealth for Australian farmers, and stimulates growth and investment in the entire herd improvement sector. Fundamentally, DataGene will improve the functionality and performance of the Australian dairy herd.