Sustainable AI & Agricultural Technologies

Climate change, increase in world population and the war in Ukraine have led nations to put a larger focus on food security, while simultaneously trying to halt declines in biodiversity and reduce risks to human health posed by chemically-reliant farming practices. Achieving these goals simultaneously will require the adoption of novel approaches. One potential solution is accelerating the uptake of AI & Robotic Technologies in the agricultural sector. However, we currently do not have a scientific model for predicting the effects of adopting AI-based agri-tech in complex systems such as the food sector. Self-organising systems offer a holistic and intuitive perspective on complex ecosystems and their resilience to socio-economic pressures at various scales. We propose the application of evolutionary agent-based modelling to explore the emergence of strategies in the food sector considering various levels of abstraction.