BioScout is an airborne real-time disease tracking platform, which lets farmers know as soon as plant diseases are present so they can be addressed before significant loss of crops. Growers lose at least 20% of their crop yield to plant diseases, with current disease monitoring techniques being labour and time intensive and inefficient for farmers.
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FAC 2019 Photos by John Ortiz
MPT AgTech
This ‘Smart Seeder’ technology measures the properties of the soil in real time while seeding, and using on-board Edge-Artificial Intelligence, is able to optimise itself for best seed placement. This helps overcome the challenges of soil quality variations across a property, which sees a third of seeds placed too deep and a third placed too shallow on the average farm.
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SmartShepherd
Free range livestock typically have a low percentage of maternal pedigree. Farmers wishing to determine profitability at a per-animal level and build breeding programs to improve maternal genetics must collect this information. SmartShepherd determines maternal pedigree in free range livestock in just 48 hours using low cost Bluetooth hardware and an algorithm.
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SWAN Systems
SWAN is a precision agriculture system that guides irrigation and nutrient scheduling to improve economic and environmental returns. It is a predictive software solution that delivers precise information for enhanced decision making to reduce water use and optimise crop performance. SWAN collects data via telemetry to process by algorithms for irrigation/nutrient scheduling and monitoring capability. It is automated and configurable to ensure a tailored outcome.
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UAG Bio Nutrients
UAG Bio Nutrients has a vision is to feed the world from waste to plate, healthily, sustainably and profitably. The world’s soils are depleting. UAG Bio Nutrients delivers nutrient dense organic fertilisers for regenerative farming – made from organic waste to increase the productivity of soil and decrease the world’s food waste challenges.
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Ubot
Ubot provides autonomous Citrus Harvestor pickers that work on deep learning algorithms, costs less than a human and work 24/7. Farmers struggle to get enough labour to pick fruit, leaving fruit is rotting on trees. These robots cost a farmer is $10 to pick a 400kg bin of oranges instead of $30 a 400kg bin for a human picker.
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Shaun Thambyah – Judge
Meet our next Judge for AusFAC!
Shaun knows the startup and innovation experience and what it takes to succeed. He’s the Co-Founder of a marketing startup he’s had success not just in attracting seed funding, but securing major Australian corporate clients.
Troy Bishop – Judge
Troy Bishop is the independent Regional Innovation Coordinator in a part-time capacity. Troy has established himself as one of FNQ leaders in startups and business growth. He has successfully started a business that created opportunities for businesses with high-level business advice in all areas to ensure you have the right resources and services to be […]
Krista Watkins – Judge
Krista is a leader in agricultural innovation and is the Co-founder and Managing Director of Natural Evolution, a company specialising in green banana and other waste produce products. Krista’s interest in reducing waste and finding uses for unsaleable produce led to the development of Natural Evolution in 2015. Following tireless work and research, she and […]
Andrew Bate – Judge
As founder and CEO of SwarmFarm Robotics, Andrew Bate is the chief visionary, leveraging his experience as a successful grain and cattle farmer and his deep knowledge of robotics to drive the successful development of the SwarmBot. Andrew has spent a lifetime in agriculture; he has trained as an agronomist at the University of Queensland […]
Dr Steve Davis – Judge
Steve has a background in both technology and business and specialises in the development and commercialisation of new products of a technical nature. He has a domain background in the physical sciences with a PhD in physical chemistry. He has worked with a variety of technology-based enterprises, many with a focus on sensing technologies, and […]
