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Smart food production systems

From paddock to plate: optimising food production and delivery

We develop new ideas and technologies to optimise food production systems, with a focus on nutrition. As these systems are affected by economical, social and environmental constraints, we explore a balance all three. 

We bring together scientists working in social and nutritional science with researchers working in advanced system analysis, whether that be Bayesian techniques, new sensing technologies, mathematical and software tools or robotics. 

Using two grazing systems (beef and dairy cattle) two horticultural systems (tree crops [apples, almonds] and vegetables) and a grain system (wheat), we seek to understand their nutritional benefits and how optimisation of the food production system can benefit the health outcomes of individuals. We also consider economical and environmental constraints.

Our research seeks to optimise food production systems while balancing nutrition, efficiency of operations, sustainability of the environment, and safe food production.

We focus on new technologies such as models, sensors, algorithms, and intelligent machines that are integrated through the system (logistics, distribution and packaging chains) to provide complete intelligence of the system. 

Our strategy gives every piece of fruit, vegetable, grain or animal its own ‘personality’ to provide the relevant metrics for both farmer and consumer.

We will develop new ideas and technologies across the entire system including the harvesting of commodities, their production and processing, distribution, and logistics. This will determine the best practice for production that offers excellent nutrition to consumers.

Our work will ultimately extend to deal with sales and marketing, consumer behaviour and health outcomes. 


  • Society and environment
  • Solutions


Project Node Leader

Professor Salah Sukkarieh
Professor Salah Sukkarieh
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