Harnessing Deep Learning for a Smarter and Sustainable Food Industry
A. N. Vinodhini, B. Yamini, A.R. Revathi, R. Kennady, T. Thilagam, B. Maheswari +1 more
Advances in computational intelligence and robotics book series
Abstract
DL is slowly revolutionizing the modern food sector by allowing for smart automation, quality assurance, and consumer-centric services in the food supply chain. This chapter provides a detailed description of various DL applications in the fields of food inspection, recognition, spoilage, agriculture, and nutrition recommendations. Disparate concepts of DL architectures are also discussed as well as the recent popular trends such as federated and multimodal learning and its integration with IoT and edge computing. The chapter also describes the issues concerning the quality of data, its interpretability, deployment, and the ethical issue. Finally, we provide insights on research themes that would help in the development of food systems that are sustainable, protective of the consumer's pri