Food waste is a tough and profound question in the world. Although the development of agricultural technology has effectively promoted the increase of vegetable and fruit production, one-third of global vegetable and fruit production are still wasted. This issue is caused not only by food overproduction or overstock, but also by customers’ requirements for fresh products. This paper aims to thoroughly explore the reasons for food waste and provide some solutions to solve this problem, especially from the “Agri-fresh produce supply chain management” perspective. Solutions include improving the cold-chain logistics system and intelligent methods. To clearly analyze reasons for food wastey, this paper interprets the issue from three dimensions (customer, food supply chain, and farm) and then explores solutions.

Bibliometric can reveal the development outline of a research topic from macro, meso, and micro levels, enabling a comprehensive examination of the structure and research hotspots of the topic from various perspectives. In the context of Industry 4.0 and smart manufacturing, digital twin and the Internet of Things have been integrated into the core tools, empowering the real economy with digital technology. By statistically analyzing the literature on the fusion framework of digital twin and the Internet of Things from the Web of Science Core Collection database, this study adopts the Bibliometric research method, focusing on observation points such as publication volume and literature distribution, author and research institution cooperation, and keyword co-occurrence. Based on CiteSpace, a visualization knowledge graph is implemented to research and analyze the current status, trends, and hotspots of the fusion framework of digital twin and the Internet of Things.