Welcome to

esperance Zone Innovation

EZI is a group of practical-minded Producers in Esperance who believe in putting cutting-edge tech to work on our fields.

At EZI, we're not just about talk; we're all about getting things done. We team up with others to offer hands-on guidance to tech companies trying to navigate agribusiness and build solid connections with organizations serious about involving growers.

Beyond the fields, we're focused on expanding the tech landscape in Esperance Port Zone, nurturing local talent and driving economic development and sustainability.

Join us as we roll up our sleeves, embrace innovation, and shape the future of agriculture in Esperance!

 

get involved with ezi

Our members are an essential part of EZI and are the reason we do what we do! All members will have access to a range of demonstrations, knowledge sharing, industry discounts relevant to our region and much more. We are also excited to offer unique opportunities in our members section to encourage discussion about innovative ideas on farm!!

To find out more head to the link below or reach out to us.


 

Our programs

Our goal with all our projects is to ensure we have an innovative mindset to education, engage, demonstrate and collaborate with the ecosystem including producers to remain at the leading edge

If you are interested in learning more about our programs or would like to put in an expression of interest to participate or support us click on the programs button and head to our programs page.

 

FAIR DATA PRINCIPLES

  • FINDABLE

    For data that is still in paper form or electronic documents (#farmrecordsaredatatoo) findable may take the form of a catalogue that outlines what data exists where. An audit or mapping exercise is frequently used as a tool for industrial businesses in understanding where their data is and what shape and format it is in. For data that is already in digital and data form, well organised and populated metadata, or data about the data, becomes crucial to creating findable data.

  • ACCESSIBLE

    Accessible isn't about data being free and freely downloadable, it is partly about the shape and form it is in. A bunch of PDF's on a thumb drive or a filing cabinet full of historical records is not very accessible. The other part of accessible is about a mechanism by which data can be accessed. This may be layer of trust and consent - access in a particular way, for a particular purpose, for a particular period of time, for a particular value exchange (quid-pro-quo, something for something).

  • INTEROPERABLE

    In this current burst of technology and platforms it is highly unlikely that any one provider or one platform will universally win the day. In some arenas or in some production areas or in some markets perhaps, but data is so widely usable that there will always be someone sitting outside of any given platform. It is far more likely that the technology market will evolve to being a series of interconnected platforms where data flows from one to another according to its use case. In this scenario interoperability and API's (Application Programming Interfaces that allow data to be served from one software to another) will be the order of the day. To facilitate this, data will need to become more aligned through the use of community accepted formats, vocabularies identifiers and units in the data and metadata.

  • REUSEABLE

    Reuse of data is where the rubber hits the road in terms of value. The quality of that data directly impacts on its ability and readiness for reuse. Pat Kennedy, the developer of an industrial operational data framework used by industry globally, held the mantra that “Data is one of the few things that becomes more valuable the more times it is used". Data reuse can and will take many different shapes and forms - internal analysis and Benchmarking, external analysis and benchmarking, certifications and compliance, machine learning, automation to name a few, plus ways that haven't even yet been imagined. Reusability is facilitated by well organised and well structured data with rich contextual metadata.

 2024 Sponsors…. coming soon

 
 

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