Haystack Fire Prevention

Using data analytics to prevent spontaneous haystack fires
Project complete

In Partnership With:

Charles Sturt University
Insurance Australia Group Limited

Haystack Fire Prevention

The Challenge

Haystack fires happen spontaneously and with little warning. Variables, such as moisture at harvest/storage, sugar levels, aeration, and temperature, can play a factor in the likelihood of a fire occurring. However, these factors are not quantified or modelled, leaving farmers to rely on decades old approaches such as testing with crowbars.

The Solution

The project team will review what pieces of data are most essential to understanding haystack degradation, as a precursor to fires, and how to process that data so that it can be transmitted through the existing limitations of satellite technologies. This will allow for monitoring on properties that have low telecommunications coverage.

The Outcomes

  • Help producers and farmers understand the health status of haystacks on their properties
  • Prevent spontaneous and dangerous fires that, if uncontrolled, can cause widespread damage to the environment and private property

Read the final report here.

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