Chain Logistics Of Agricultural Products Research Articles

Discussion and Analysis of Agricultural Cold Chain Logistics Issues

With the advancement of socialist marketisation, the demand for cold chain logistics for agricultural products is expanding. This not only accelerates the development of cold chain logistics system, but also brings a lot of convenience to the residents' life. This paper takes the current situation of supply and demand of cold chain logistics of agricultural products in China as the starting point, analyses the current problems in the development of cold chain logistics of agricultural products, and puts forward corresponding countermeasures in this regard, with a view to improving the efficiency of cold chain logistics transport in China to meet the daily needs of the people.

Research Hotspots on Fresh Cold Chain Logistics Based on CiteSpace

With the rapid development of today's logistics industry, fresh cold chain logistics, as one of the important branches of the logistics industry, is an important means to ensure the quality and safety of fresh products, and its development has attracted more and more attention. In this paper, 181 papers related to fresh cold chain in Chinese core journals and CSSCI journals from 1998 to 2023 in CNKI database were taken as research objects, and the methods of keyword co-occurrence map, cluster map, and emergent word detection provided by visualization software CiteSpace were used to sort out and summarize the collected data, and explore the research hotspots and frontiers in the field of logistics process of fresh cold chain products. At the same time, China's agricultural product cold chain logistics research groups are in a fragmented state, and distribution mode and fresh e-commerce are the current hot spots of agricultural product cold chain logistics research; At present, there are still problems such as long supply chain, many circulation links, high cost and loss in the cold chain logistics of agricultural products, and in-depth discussions should be carried out from the aspects of intelligent logistics and cold chain logistics in the future.

Development Strategy Analysis of Cold Chain Logistics of Fresh Agricultural Products under the Background of Low-carbon Economy

In the context of global warming, the "low-carbon economy" based on low energy consumption and low pollution has become a global issue. Cold chain logistics has entered a period of rapid development driven by fresh consumption demand, and low-carbon logistics has become one of the important measures for the whole industry to adapt to the development of low-carbon economy. This paper analyzes the connotation and characteristics of cold chain logistics of fresh agricultural products, and analyzes the characteristics of transport links. The present situation of cold chain logistics of fresh agricultural products is summarized, the current working mode and main problems of cold chain logistics of agricultural products in China are clarified, and the main countermeasures for the development of cold chain logistics of fresh agricultural products are put forward.

基于主成分分析法和多元回归对山东省农产品冷链物流的实证分析

基于主成分分析法和多元回归对山东省农产品冷链物流的实证分析

Quality Control of Agricultural Products Cold Chain Logistics under Internet of Things Technology

China's agricultural production has achieved fruitful results in recent years, but on the whole, problems such as scattered production, low degree of modernization and lack of integrated organization and operation of production, supply and marketing are still outstanding. However, the achievement of the synergy benefits of cold chain logistics systems cannot be achieved overnight. Relevant entities should consciously and gradually adopt organized strategies and means to promote the evolution of self-organized collaboration to a higher stage. It is of great practical significance to explore the collaborative path and realization mechanism of cold chain logistics of agricultural products in China under the technology of IOT (Internet of Things), to promote relevant enterprises to solve the "bottleneck" of industrial development in interactive coordination, and to realize seamless connection of cold chain logistics nodes and effective integration of resources. To a certain extent, the wholesale market can more accurately control the types and quantities of products demanded by the market, and also has the ability to schedule all links. Build a backbone network of agricultural products cold chain connecting the main producing areas and consumption areas of agricultural products, and improve the security level of large-scale agricultural products logistics.

Forecasting the demand for cold chain logistics of agricultural products with Markov-optimised mean GM (1, 1) model—a case study of Guangxi Province, China

PurposeThe demand for the cold chain logistics of agricultural products was investigated through demand forecasting; targeted suggestions and countermeasures are provided. This paper aims to discuss the aforementioned statement.Design/methodology/approachA Markov-optimised mean GM (1, 1) model is proposed to forecast the demand for the cold chain logistics of agricultural products. The mean GM (1, 1) model was used to forecast the demand trend, and the Markov chain model was used for optimisation. Considering Guangxi province as an example, the feasibility and effectiveness of the proposed method were verified, and relevant suggestions are made.FindingsCompared with other models, the Markov-optimised mean GM (1, 1) model can more effectively forecast the demand for the cold chain logistics of agricultural products, is closer to the actual value and has better accuracy and minor error. It shows that the demand forecast can provide specific suggestions and theoretical support for the development of cold chain logistics.Originality/valueThis study evaluated the development trend of the cold chain logistics of agricultural products based on the research horizon of demand forecasting for cold chain logistics. A Markov-optimised mean GM (1, 1) model is proposed to overcome the problem of poor prediction for series with considerable fluctuation in the modelling process, and improve the prediction accuracy. It finds a breakthrough to promote the development of cold chain logistics through empirical analysis, and give relevant suggestions based on the obtained results.

Influencing Factors Analysis of Collaborative Development Level of New Retail and Cold Chain Distribution of Agricultural Products under Low-Carbon

With the annual growth of agricultural products， which has greatly met People’s daily needs. It is of great practical significance to introduce the low-carbon concept into the retail and cold chain logistics of agricultural products. However, few studies have designed the coupling relationship between the new retail of agricultural products and the development of cold chain distribution. In this context, this work uses principal component analysis (PCA) to extract the common core factors that affect the operational benefits of cold chain low-carbon distribution and the consumer experience of new agricultural retail. Then, the coupling linkage model of cold chain low-carbon distribution and new retail of agricultural products was constructed by using grey correlation analysis. Finally, a new retail and agricultural products cold chain coupling mechanism under low-carbon distribution is designed. The work is helpful to improve the new downstream supply chain retail enterprise management ability of agricultural products, promote cold-chain distribution business benefit and business value, and also helps to promote the implementation of the strategy of rejuvenating and promote the country. This study is conducive to improving the downstream supply chain management ability of new agricultural retail enterprises, enhancing the cold chain distribution business efficiency and business value, and ultimately promoting the implementation of a rural revitalization strategy.

Agricultural Cold Chain Logistics Mode Based on Multi-Mode Blockchain Data Model.

Aiming at the problem of massive data storage and transaction authority in the blockchain system in the data sharing transaction scenario, this paper proposes a blockchain system for the controllable sharing transaction of massive data. By designing the blockchain system model of the consortium chain and private chain, reconstructing the data structure of the block, and introducing the InterPlanetary File System (IPFS) technology, we adopt the off-chain storage method to solve the problem of high cost caused by too much data carried by the block. The isolation control of data resource transactions is realized by introducing identity authentication and channel mechanism, which meets the needs of different subjects for confidentiality of transaction data information. From the analysis results of cold chain logistics efficiency, in the five years from 2017 to 2021, the comprehensive cold chain logistics efficiency, pure technology cold chain logistics efficiency, and scale cold chain logistics efficiency of agricultural product cold chain logistics in a certain region have all reached above 0.9. The return to scale remains unchanged, and the cold chain logistics resources have been effectively allocated and reasonably utilized. The value of comprehensive cold chain logistics efficiency, pure technology cold chain logistics efficiency, and scale cold chain logistics efficiency in a certain month is less than 1, which means that the cold chain logistics efficiency is weak or ineffective. This shows that in these years, the infrastructure investment, cold chain technical support, and management level related to the cold chain logistics of agricultural products in a certain region need to be strengthened, and it is necessary to adjust the input-output structure and allocate resources reasonably. From 2018 to 2021, the total factor productivity of agricultural product cold chain logistics in a certain region is greater than 0.85, indicating that the level of total factor productivity is relatively high during this time period, and the increase in the efficiency of technical cold chain logistics is the main reason for the increase in total factor productivity.

Demand Forecasting of Agricultural Cold Chain Logistics Based on Metabolic GM (1,1) Model

The cold chain logistics is an important part of the whole logistics industry, with the rapid development of China’s economy, people’s living standards rising, consumer demand transformation, people’s demand for cold chain logistics is becoming more and more big, however, in the cold chain logistics industry, gradually increased demand for agricultural products in the public, this article selects 2014-2019 China’s cold chain logistics of agricultural products Based on the metabolic GM(1.1) model, the demand of cold chain logistics of agricultural products in China in the next five years is predicted. The predicted experimental results can provide data reference for relevant departments, in order to provide theoretical support for promoting the balance between supply and demand of cold chain of agricultural products.

Research on Cold Chain Logistics Operation Mode Under Internet Technology

This article first introduces the theoretical basis and concepts related to cold chain logistics of agricultural products, analyzes the cold chain logistics market of agricultural products and the necessity of developing cold chain logistics, and then finds that there is a lack of overall planning for cold chain logistics of agricultural products. Subsequently, it carried out the “Internet +”-based agricultural product cold chain logistics system planning and based on agricultural product development logistics’ actual situation, and it gave cold chain system optimization suggestions. Finally, a cold chain logistics enterprise for agricultural products is used to construct a cold chain logistics system for agricultural products, including business models, information platforms, and system functions.

Fuzzy cognitive map based vulnerability analysis of agricultural products cold chain logistics: a perspective of carbon footprint

As an important part of the development of a low-carbon economy, developing low-carbon logistics is an important measure to implement transform the economic development mode and cope with global warming. In order to effectively realize the low-carbon operation of agricultural cold chain logistics, a fuzzy cognitive map is employed to analyze the vulnerability of agricultural cold chain logistics on the perspective of carbon footprint. With the analysis above, the influencing factors of carbon emissions in cold chain logistics operations can be identified. Therefore, the carbon reduction strategy of the cold chain logistics of agricultural products can be obtained. Our findings can be as decision-making reference for relevant departments and enterprises to better formulate cold chain low carbon emission strategies and promote green logistics to achieve high-quality development.

On tracing abnormal links in cold chain logistics of agricultural products by using location based service

In the daily food consumption, the proportion of fruit and vegetable agricultural products is increasing year by year. However, incidents such as problematic cucumbers, dyed Chinese peppers and poisonous bean sprouts have triggered public concerns about the quality and safety of fruit and vegetable products. In order to further stabilize the market supply of fruits and vegetables, it requires to ensure the quality and safety. The key link in the food safety mechanism is the traceability of cold chain logistics information. It is an inevitable trend of food safety management. Through information traceability, it is possible to accurately obtain the production information, processing information and circulation information of agricultural products in each link of the supply chain, so as to implement the transparency of the entire circulation of agricultural product transportation. In order to trace the abnormal links in cold chain logistics, this paper divides the urban geographic area by latitude and longitude based on the road network structure and uses characters in combination with the LZW algorithm to compress the string and code of the trajectory of cold chain vehicles. The experimental results show that it has high compression rate and can recover the trajectory with high similarity. Thus, the compressed string and code can reduce the storage.

Research on Application of Cold Chain Logistics Management Based on Big Data Technology

Compared with developed countries, the cold chain logistics of agricultural products in china is wasteful, which not only consumes a lot of labor and natural resources, but also reduces the domestic and international competitiveness of agricultural products. The paper analyzes outstanding issues such as cold chain "broken chain", "information islands", and cold chain "food safety". Through the integration of advanced information technologies such as big data and mobile internet, a cold chain logistics engineering management technology platform is established to establish a national The data analysis center and the national cold chain logistics big data real-time monitoring and early warning platform, open up the logistics information chain, realize the full traceability of logistics information, promote the effective docking of logistics information and public service information, and encourage the sharing of information on logistics platforms between regions and industries. interconnection.

Development Strategy of Agricultural Product Cold Chain Logistics under Low Carbon Economy

<p>The cold chain logistics of agricultural products is closely related to people’s lives and production. With the development and progress of society and the improvement of people’s income level, the cold chain logistics industry came into being and provided a guarantee for the development of agricultural product transactions. Based on the current development status of China’s agricultural product cold chain logistics industry, this paper discusses the problems and proposes countermeasures and suggestions based on the causes and effects of the problems.</p>

Research on service quality evaluation method of cold chain logistics of agricultural products based on key control points

Based on the idea of key control points, the evaluation model of cold chain logistics service quality of fresh agricultural products is constructed. Based on the analysis of the characteristics of cold chain logistics of fresh agricultural products, combined with SERVQUAL model and LSQ model, four key control points of service quality of cold chain logistics of fresh agricultural products are selected, and the fuzzy comprehensive evaluation method is used to analyze the evaluation examples. The results show that the method is effective.

Real-time emergency management mode of cold chain logistics for agricultural products under the background of “Internet+”

To solve the problems of the traditional cold chain logistics management mode of agricultural products, such as loose circulation, inaccurate information transmission, untimely processing, serious loss of fresh agricultural products, a real-time and accurate management of cold chain logistics is es tablished to study the real-time emergency management mode of cold chain logistics for agricultural products under the background of “Internet+”. Method: Under the background of “Internet+”, the e-commerce platform and the cold chain logistics network are combined, and the physical real-time emergency management mode of the cold chain of agricultural products is divided into the sub-mode of “production warehouse+cold chain”, the sub-mode of “e-commerce+cold chain express+smart cabinet” and the sub-mode of “cold chain storage+chain new retail”; through the circulation efficiency improvement algorithm of cold logistics supply chain, the circulation loss between nodes is reduced, to improve the circulation efficiency of the supply chain; The evaluation method of real-time emergency management mode for cold chain logistics, the entropy weight method and the analytic hierarchy process are selected to jointly determine the weight, and the fuzzy comprehensive evaluation method is used to comprehensively evaluate the emergency management effect of cold chain logistics for agricultural product. Results: The final score of the performance evaluation in enterprise SX’s fresh agricultural product supply chain using the emergency management mode is 69.52 points, and the efficiency value of cold product logistics management in the enterprise C is 0.536. Conclusion: The real-time emergency management mode of cold chain logistics of agricultural products studied has certain feasibility, which can accurately analyze the advantages and disadvantages of cold chain logistics management of different enterprises.

An empirical study on the relationship between foreign trade of agricultural products and the development of cold chain logistics in Sichuan Province

This paper selects the data of Sichuan Province from 2001 to 2018 as the sample, which is the total trade volume of agricultural products (TA), the cold chain logistics volume of agricultural products (CD), and the cold chain logistics volume of agricultural products (CS). Through the time series of three variables, the stationary, co-integration and vector error correction models are used to study the long-term equilibrium and short-term fluctuations between the agricultural product foreign trade and agricultural product cold chain logistics development level, in order to provide suggestions for the common development of both. The results show that: First, the level of agricultural trade and the level of cold chain logistics of agricultural products continue to increase, but the overall level of the two is still insufficient. Secondly, the time series of the both are smooth sequences through the first-order difference. Through the cointegration test, there is a long-term equilibrium relationship, and the short-term relationship between the two is greater than the long-term relationship. Thirdly, the demand and supply of cold chain logistics of agricultural products is a one-way causal relationship between the trade volume of agricultural products. In the future, we must give full play to the advantages of Sichuan’s characteristic agricultural products and strengthen the construction of logistics facilities and the connection between logistics nodes.

Heuristic swarm intelligent optimization algorithm for path planning of agricultural product logistics distribution

In the current agricultural product consumption market, the consumer’s demand for agricultural products tends to be diversified and individualized, and they need stricter links of cold chain logistics distribution of agricultural products. The cold chain logistics of fresh agricultural products is also the business of high energy consumption and high carbon emission in the logistics industry. The contradictory relationship between it and the “low-carbon economy” advocated today leads to the necessity to consider the relationship between economic benefit and environmental impact in the process of rapid development. Based on this, this paper, from the perspective of low-carbon economy, based on the analysis of the necessity of optimizing the distribution path of cold chain logistics of agricultural products, constructs a model for this and puts forward a swarm intelligence optimization algorithm-particle swarm optimization (PSO) algorithm. The algorithm is improved from inertia weight, convergence factor, learning factor, and population size and so on. The optimized PSO algorithm is compared with the traditional PSO algorithm. Finally, the simulation results show that the improved algorithm can be used to optimize the distribution path of cold chain logistics of agricultural products effectively, and the specific optimization countermeasures are put forward according to the actual situation.

Research on the Cold Chain Logistics Distribution System of Agricultural Products

In recent years, with the constant improvement of the people’s living standards and quality, people’s demand for fresh agricultural products is increasing. The cold chain logistics of agricultural products has become a new field of logistics, which attracts more and more attention from all sectors of society. Distribution of agricultural products is an important part of cold chain logistics of agricultural products. Its research can not only reduce logistics costs and improve economic benefits, but also reduce the loss of agricultural products and improve the freshness of agricultural products. Firstly, this paper analyzes the main distribution modes of cold chain logistics of agricultural products in China, and puts forward some suggestions to improve the existing problems. Secondly, the logistics cost in the distribution process of agricultural products is analyzed and modeled. Finally, an example is given to illustrate the effectiveness of the model.

Temporal and Spatial Visualization Display Technology of Cold Chain Logistics of Agricultural Products

Agricultural products in circulation process requirements of the transport environment relatively strict, use of networking technology can real-time perception process of the circulation of agricultural products in the environmental data and the vehicle location data, through effective visualization of these data to realize the transport aspects of environmental monitoring and position tracking. Directly to the data for visualization mapping will face the following challenges: perceived will appear very complex disorder, is easy to appear the problem of visual confusion; key points will be buried in dense point group, it is difficult to find the valuable information contained in the data; the rendering of large-scale data will occupy a lot of computational resources and lead to browser Stuttering phenomenon, affect the user's experience. Aiming at these problems, this paper proposes a spatiotemporal data-aware clustering of the circulation of agricultural products based on the technology of visualization technology, the first comprehensive consideration of geographical space distribution, time continuity, semantic characteristics of large-scale data collected by cluster analysis, dig out the key position of the circulation process; and then draw the transport track these key positions based on, in order to achieve the circulation process of sensing data visualization; finally, applied this technology to the agricultural IOT geographic spatial analysis and visualization system, this system is successfully applied to the Shandong Province agricultural base, to demonstrate the application for agricultural logistics, application shows that this technology is convenient to analyze visually on spatiotemporal visualization the process of the circulation of agricultural products.