AI for Complex Adaptive Systems in Agric-Food Chains: Enterprise Architecture Perspectives
Keywords: Machine Learning, Deep Learning, Data Mining, Data Analytics, Sustainability
TL;DR: Enterprise architectures provide a structured framework for designing and managing complex systems. In the context of agricultural food chains, integrating AI can enhance the capabilities of complex systems in Agriculture .
Abstract: Enterprise architectures provide a structured framework for designing and managing complex organisational systems. In the context of agricultural food chains, integrating artificial intelligence (AI) can enhance the capabilities of complex adaptive systems in Agriculture (CASA). This paper explores the application of AI in agricultural food chains, focusing on how it can improve decision-making, optimise supply chain operations, mitigate risks, and promote sustainability within the context of enterprise architectures.
Submission Category: Machine learning algorithms
Submission Number: 69
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