By: Amit Kumar Rathoure, Harcourt Butler, Adarsh Kumar Arya, Sivasamy Balasubramanian, Dan Bahadur, Ashish Kapoor
This paper explores the current landscape of bioplastics, focusing on the utilization of agri-food waste (AFW) as a valuable resource for their production using Artificial Intelligence (AI) and machine learning (ML) techniques. The processing methodology for converting such waste into bioplastics is elaborated, encompassing various innovative techniques and technologies enhanced by AI-driven optimization. Specific examples of agri-food waste utilized for bioplastic production, including bagasse, beer spent grain, tomato pomace, olive pomace, and rice husk, are included, showcasing the diverse range of feedstocks available for sustainable manufacturing practices. AI applications span multiple stages of the AFW-to-bioplastic value chain, including feedstock characterization





