Project Details
Description
Awarded in Round 1 of the National Industry PhD program.
Aims: The overarching aim is to develop a portable, robust, and accurate sensing device comprising highly sensitive and selective sensor arrays for early detection of pregnancy in cattle.
Significance: This project will offer the development of a cutting-edge, non-invasive sensing technology that will revolutionise cattle management in the Meat, Livestock & Dairy industries by allowing the producers to carry out pregnancy testing when it suits them, in a safe and accurate manner, without the need to rely on a veterinarian. This will be a game-changer in achieving healthy cattle reproduction, which is essential to help Australian farmers manage a sustainable herd.
Outcome: The project will deliver a range of outcomes, from demonstrating the mechanisms to enhance the selectivity of metal-oxide based gas sensing devices to the key knowledge in mass producing gas sensors capable of detecting minute quantities of chemicals in a complex gas mixture.
Aims: The overarching aim is to develop a portable, robust, and accurate sensing device comprising highly sensitive and selective sensor arrays for early detection of pregnancy in cattle.
Significance: This project will offer the development of a cutting-edge, non-invasive sensing technology that will revolutionise cattle management in the Meat, Livestock & Dairy industries by allowing the producers to carry out pregnancy testing when it suits them, in a safe and accurate manner, without the need to rely on a veterinarian. This will be a game-changer in achieving healthy cattle reproduction, which is essential to help Australian farmers manage a sustainable herd.
Outcome: The project will deliver a range of outcomes, from demonstrating the mechanisms to enhance the selectivity of metal-oxide based gas sensing devices to the key knowledge in mass producing gas sensors capable of detecting minute quantities of chemicals in a complex gas mixture.
| Status | Active |
|---|---|
| Effective start/end date | 21/11/23 → 20/11/26 |