Articles in Press

An economic system focused on low energy usage, low pollution, and low emission is known as a "low-carbon economy". The concept of environmentally friendly and low-carbon food packaging architecture directs practice growth and reform in accordance with the customer's green psychology. As the primary benchmark for packaging concerned with designing practices, it uses the green conceptual design of contemporary eco-environmental preservation and other meaningful reforms. It is significant need to mix people's developed green psychology with this issue in order to discover a solution for green packaging design. The design and use of eco-friendly and low-carbon food packaging is covered in this research. With the implementation of wireless sensor network (WSN) and Artificial Intelligence (AI) technique, it accomplishes the fusion of market and ecologically responsible design, enhances production effectiveness and product usage. The confidence weight information choice technique is used to determine the type of smart energy-saving packaging, and the fundamental element is that the energy usage vector is formed by an Artificial Neural Network (ANN). Packaging makers must reevaluate how design and the environment interact, eliminate packaging design pollutants, make environmental protection their top concern, and develop a design idea that complies with ecological ethics for the long-term profit of human survival. Environment, politics, economy, and social factors all play a role in how the food system functions and are influenced by them. Compared to traditional techniques for monitoring the environment We use wireless sensor networks to keep an eye on the agricultural environment because they have three key benefits: (1) There is no need to lay wire; (2) the system is only implemented once; (3) the nodes are dense; (4) collected data has good precision; and (5) sensor nodes with a specific calculation and storage capacity, enabling collaboration among nodes, are perfect for unsupervised monitoring system. The incorporation and handling of product packaging data is made possible by smart packaging technology, which is essential in the creation of low-carbon food packaging and helps

The regional tourism economy of Guizhou Province (Latitude 26° 38' 49.1964'' N and Longitude: 106° 37' 47.9892'' E) can be developed by improving the transportation situation. The influence of transportation on the regional tourism economy is the main research content here. A correlation model is established to quantify the relationship between the two. Finally, the model experiment results are analyzed and summarized. Growth rate of total tourism revenue has the largest impact after a positive shock in the initial stage and then drops sharply, turning into the largest negative response. There are obvious shocks in the next few times. The impact gradually decreases and finally tends to 0. The impact of the shock disappears after 20 hits. When it is impacted by the total length of transportation lines, the growth rate of total tourism revenue doesn’t respond at the initial stage. It then responds negatively. The results indicate that there is a coupling relationship between transportation and tourism. The improvement of transportation serves as a strong booster for the tourism economy and supports the development of tourist attractions. The results are significant for promoting transportation and tourism in Guizhou Province.