This research leverages AI, specifically likely machine learning models, to tackle food waste and improve global food security by developing a predictive tool. The collaboration between Leeds and CSIRO to build this AI platform signifies a growing trend of applying advanced analytics to optimize agricultural practices and supply chains.
Agriculture & Food: The AI platform directly addresses the agriculture and food sector's challenges in minimizing waste throughout the supply chain. It will likely lead to more efficient farming practices, improved supply chain logistics, and reduced environmental impact within the agricultural space. Moreover, enhanced food security from reduced waste has vast implications for the overall health of the Agriculture & Food sector.
Operational impact: Businesses in the food and agriculture sectors can leverage this AI platform to optimize their operations, from planting to distribution. This includes using AI-driven insights to improve resource allocation, predict demand, reduce spoilage, and streamline supply chains. The platform could also automate various processes, such as quality control and inventory management, freeing up human resources for more strategic tasks. Implementation requires expertise in data integration and AI model deployment.