Agricultural Product Quality Safety Research Articles

Analysis of Influencing Factors of Agricultural Product Quality Safety on Supply Chain Resilience

Analysis of Influencing Factors of Agricultural Product Quality Safety on Supply Chain Resilience

Effect and mechanism of coexistence of microplastics on arsenate adsorption capacity in water

Arsenic pollution control technology in water was important to ensure environmental health and quality safety of agricultural products. Therefore, the adsorption performance of three adsorbents for chitosan, sepiolite, and Zeolitic Imidazolate Framework-8 (ZIF-8) were investigated in arsenate contaminated water. The results revealed that the adsorption capacity of ZIF-8 was higher than that of chitosan and sepiolite. The analysis of adsorption isotherm models showed that the behavior of ZIF-8 was more consistent with the Langmuir model. Furthermore, the adsorption mechanisms of three adsorbents for arsenate were investigated by Fourier-transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS). The analysis of FTIR showed that ZIF-8 maintained the stability of the interaction with arsenate by forming As-O chemical bonds. However, the effect of chitosan and sepiolite with arsenate was mainly physical adsorption. The analysis of XPS showed that the absorption of ZIF-8 with arsenate involved metal sites and nitrogen through the characteristic peak and the change of the binding energy. Furthermore, the impact of microplastics as a widespread coexistence pollutant in the water on adsorbent performance was investigated. The results indicated that the adsorption capacity of ZIF-8 was almost not affected by microplastics. The maximum adsorption amount of arsenate was changed from 73.45 mg/g to 81.89 mg/g. However, the maximum adsorption amount of chitosan and sepiolite decreased by 31.4 % and 11.6 %, respectively. The analysis of FTIR and XPS revealed that ZIF-8 enhances arsenate adsorption by forming N-O-As bonds in the presence of microplastics. This study provides scientific evidence for the management of arsenate pollution in water bodies, especially in complex water bodies containing microplastics.

Principle and applications of near‐infrared imaging for fruit quality assessment—An overview

SummaryThe quality (i.e. the degree of excellence and acceptance to the consumer) evaluation and safety of fruit and other agricultural products is by far the main challenging task in the food industries. Hence, the development of efficient non‐invasive, real‐time and rapid‐quality assessment tools and techniques is the need of the hour. This review paper aims to provide the basic or fundamental knowledge regarding the principle, potential and application of near‐infrared imaging‐based computer vision systems. Non‐invasive technologies, based on optical properties, are the most applicable and important for real‐time quality assessment. Absorption, reflection and scattering before the transmission of incident light are phenomenon properties of biological materials. The principle and application of NIR imaging (i.e. medical imaging) in agriculture for quality detection were studied from various published research papers. Thus, collected pieces of information are summarised, concluded and discussed in a unique way in this report. The NIR spectrum of electromagnetic waves has some basic benefits of light penetration into the upper layer and makes visualisation of the targeted area of objects. Several studies have proved that the non‐destructive system based on visible and non‐visible imaging in combination has a significant role in quality defect detection in fruits. In NIR imaging, the artefacts caused by light illumination can be reduced and it will help in the visualisation of biological tissues and hidden defects just below the peel.

Dissipation, residues and risk assessment of lufenuron during kumquat growing and processing

Dissipation, residues and risk assessment of lufenuron during kumquat growing and kumquat processing were investigated under field and household conditions. The QuEChERS technique with high-performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) was used to detect lufenuron residues content in kumquats and its processed products. The recoveries were 82.3–102.8% at a spike level of 0.005–0.5 mg kg−1, the relative standard deviations (RSDs) were 1.1–9.4%. The dissipation kinetics data showed that lufenuron in kumquats were degraded with the half-lives of 9.12–12.60 days. The terminal residues of lufenuron in kumquats were 0.064–0.107 mg kg−1 after application one times with a pre-harvest interval (PHI) of 14 days under the designed dosages. The juicing process can significantly reduce the residues of lufenuron in kumquats juice, and the processing factor (PF) value of juicing process was 0.15. The chronic dietary exposure assessment risk quotient (RQ) values of lufenuron in kumquats fruit and juice for different consumers were 0.71–2.13% and 0.37–0.86%, all of the RQ values were lower than 100%. The results from this study are important reference for Chinese governments to develop criteria for the safe and rational use of lufenuron on kumquats and monitor the quality safety of agricultural products and protecting consumer health.

Determination, residue analysis and risk assessment of thiacloprid and spirotetramat in cowpeas under field conditions

The dissipation and residue levels of thiacloprid, spirotetramat and its four metabolites residues in cowpeas were investigated under field conditions. The QuEChERS technique with high-performance liquid chromatography tandem mass spectrometry (HPLC–MS/MS) was used to detect thiacloprid, spirotetramat and its four metabolites residues content in cowpeas. The recoveries were 81.3–95.1% at a spike level of 0.005–0.5 mg/kg, the relative standard deviations (RSDs) were 2.1–9.5%. The dissipation kinetics data showed that thiacloprid and spirotetramat in cowpeas were degraded with the half-lives of 1.14–1.54 days and 1.25–2.79 days. The terminal residues of thiacloprid and spirotetramat were 0.0255–0.4570 mg kg−1 and 0.0314–0.3070 mg kg−1 after application 2 times with a pre-harvest interval (PHI) of 3 days under the designed dosages. The chronic and acute dietary exposure assessment risk quotient (RQ) values of thiacloprid in cowpeas for different consumers were 2.44–4.41% and 8.72–15.78%, respectively, and those of spirotetramat were 1.03–1.87% and 0.18–0.32%, respectively, all of the RQ values were lower than 100%. The dietary risk of thiacloprid through cowpeas to consumers was higher than spirotetramat. The results from this study are important reference for Chinese governments to develop criteria for the safe and rational use of thiacloprid and spirotetramat, setting maximum residue levels (MRLs), monitoring the quality safety of agricultural products and protecting consumer health.

Study on the Ecological Circulation Agricultural System of Combining Planting and Raising of Berry Tea

Berry tea is a perennial vine. Its scientific name is ampelopsis grossedentata. It belongs to vitaceae and is widely spread in the Tujia people of Xiangxi, Hunan Province. By adopting appropriate agricultural planting technology, rational use of organic selenium fertilizer and nutritional conditioner, we can produce high-quality berry tea with more healthy and even medicinal value and high selenium content, and realize double protection of human health with high selenium content and high flavonoids. Under the existing planting system, through the supplement of breeding links, constructing ecological recycling agricultural system combining planting and raising, not only can greatly enrich the supply of table agricultural products, but also can effectively ensure the high quality and high safety of agricultural products, and can effectively enrich the local agricultural industrial structure.

Brand Premium and the Quality and Safety of Agricultural Products: Examples from Rice Planting in Jiangsu Province

The quality and safety of agricultural products has always been a long-term problem that plagues the government and academia. Many scholars discuss the possibility of controlling the quality and safety of agricultural products from the external measure of strengthening government supervision of agricultural production and planting, but it is difficult to avoid the embarrassing situation of “supervision failure”. At the same time, due to the decentralized and fragmented characteristics of China’s agricultural operations, the government’s comprehensive supervision on the quality and safety of agricultural products will produce extremely high supervision costs. In this context, exploring the market incentive and restraint mechanism of agricultural product quality and safety control is a hot topic of general concern of the government and academia.Based on the perspective of branding, this paper explores the impact of brand premium on rice quality and safety from the perspective of pesticide application through the theoretical and empirical analysis. The main research conclusions include: Firstly, traditional rice production is still dominated by traditional production and management methods, and the level of branded production is still at a low level as a whole. Secondly, the excess profits brought by brand premium can make up for the externality of agricultural safety production, allowing farmers to generate endogenous prices to encourage high-quality and safe agricultural production, thereby promoting the improvement of agricultural product quality and safety. Finally, there are certain boundary conditions for brand premium to promote the quality and safety of agricultural products. Only when the brand-specific assets restrict the production behavior of farmers, can the brand premium improve the quality and safety of agricultural products to the greatest extent. This paper thinks that in the process of agricultural product branding development, we should focus on the right and responsibility docking of brand subjects, and strengthen the binding effect of brand reputation, so as to give full play to the role of price mechanism in the promotion of agricultural product quality and safety.The innovation of this paper lies in the following three points: Firstly, scholars mostly explore the ways to improve the quality of agricultural products from the aspects of government supervision and the characteristics of farmers’ endowments, but there is a lack of discussion on the marketization mechanism of quality and safety improvement. This paper focuses on the price mechanism to solve the quality and safety problems, and the research perspective has certain novelty. Secondly, the existing discussion on the brand and quality safety of agricultural products lacks in-depth mechanism analysis and corresponding empirical support. This paper adds the correlation analysis of asset specificity and quality and safety cognition, and further clarifies the boundary conditions for brand premium to improve the quality and safety of agricultural products. Thirdly, in the process of analysis, we also pay attention to the differences of brand with different property rights in improving the quality and safety of agricultural products, and the relevant research is more specific and detailed.

Quality safety of agricultural products in supply chain-computer simulation based on multi-agent system

As is known that, one of the challenges in ensuring the quality and safety of agricultural products in China is how to organize plenty of scattered small farmers and integrate them into the modern agricultural products supply chain system. In this paper, in order to promote the tight integration of agricultural products supply chain, based on multi-agent system, a computer simulation model of agricultural products supply chain is proposed. Through a series of simulation experiments, the evolution of the organizational structure of the agricultural products supply chain, its impact on the quality and safety of agricultural products under different government regulations are explored and discussed in detail. It follows from these simulation results that the more long-term-contract farmers and sellers, the more conducive to the improvement of the quality and safety of agricultural products, and the corresponding countermeasures and suggestions are also provided.

Vertical Integration of Agricultural products supply chain and quality Safety of Agricultural products

Today, food safety is a common concern in the world. As the main source of food, agricultural products’ safety is also worthy of attention. By establishing the vertical integration model of the agricultural product supply chain, the circulation links of agricultural products can be reduced, and the circulation efficiency and quality level of agricultural products can be improved. This paper assumes that under the condition of simple fresh agricultural products, there is only one wholesaler and one retailer in the agricultural product supply chain. Through the analysis of the economic model, it is concluded that the vertical integration of the agricultural product supply chain has a positive impact on the safety of agricultural products. With the improvement of the vertical integration of the supply agricultural products supply chain, the efforts of wholesalers and suppliers to ensure the safety of agricultural products have been improved, the circulation cost of agricultural products has been reduced, and the sales price of agricultural products has been reduced.

Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China

The first document of the central government in 2021 proposed to strengthen the supervision of agricultural product quality and food safety, and vigorously develop green food and organic food. Green agriculture is the core of the future development of modern agriculture, which is closely related to food safety, environmental protection and sustainable use of resources, and is the basis for realizing agricultural and rural modernization. In this paper, three objective weighting methods (entropy method, principal component analysis method, factor analysis method) were used to assign the weight of China's green agriculture development level index in 2018, and then combined with the combination evaluation method to calculate the comprehensive score and ranking. On this basis, the 31 provinces and cities in China were divided into four types by cluster analysis: high level of green agriculture development, high level of green agriculture development, medium level of green agriculture development and low level of green agriculture development. According to the study, Heilongjiang, Shandong, Jiangsu, Henan and Anhui were the regions with higher green agriculture development in 2018. On the other hand, the five least developed provinces and cities are Beijing, Ningxia, Hainan, Tianjin and Tibet. The overall situation of green agriculture development in China is unbalanced among regions. Therefore, according to the agricultural economic basis of each province or city, some suggestions are put forward in the hope of improving the agricultural production environment, improving the quality of green agricultural products, realizing the balanced development of green agriculture among regions and speeding up the process of agricultural and rural modernization.

Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System

With the development of society, people pay more and more attention to the safety of food, and relevant laws and policies are gradually introduced and being improved. The research and development of agricultural product quality and safety system has become a research hot spot, and how to obtain the Web information of the system effectively and quickly is the focus of the research, so it is essential to carry out the intelligent extraction of Web information for agricultural product quality and safety system. The purpose of this paper is to solve the problem of how to efficiently extract the Web information of the agricultural product quality and safety system. By studying the Web information extraction methods of various systems, the paper makes a detailed analysis and research on how to realize the efficient and intelligent extraction of the Web information of the agricultural product quality and safety system. This paper analyzes in detail all kinds of template information extraction algorithms used at present, and systematically discusses a set of schemes that can automatically extract the Web information of agricultural product quality and safety system according to the template. The research results show that the proposed scheme is a dynamically extensible information extraction system, which can independently implement dynamic configuration templates according to different requirements without changing the code. Compared with the general way, the Web information extraction speed of agricultural product quality safety system is increased by 25%, the accuracy is increased by 12%, and the recall rate is increased by 30%.

The degradation behaviour, residue distribution, and dietary risk assessment of malathion on vegetables and fruits in China by GC-FPD

The gas chromatography-flame photometric detector (GC-FPD) was used to detect malathion residues content in vegetables (cherry tomatoes and broccoli) and fruits (mulberries, cranberries, and figs). The recoveries of samples were 76.2 ± 3.5%–103.9 ± 3.6% at a spike level of 0.01–10 mg/kg, the relative standard deviation (RSDs) were 2.1%–7.3%, and the limit of quantification (LOQs) were 0.01–0.02 mg/kg. On the basis of the normative field trials, the degradation half-life of malathion were 1.10–2.15 days, which indicated that malathion degrades quickly. The final distribution of malathion residues in various vegetables and fruits varied from <0.01 to 0.58 mg/kg. The long-term dietary risk assessment results showed that the national estimated daily intake (NEDI) of malathion in various populations of China ranged from 0.000021 to 0.000549 mg/kg bw, and the risk quotient (RQ) ranged from 0.007% to 0.183% and were less than 100%, which indicated that malathion has a low risk for long-term dietary intake these crops. The maximum residual limits (MRLs) of malathion can be set as 1 mg/kg for cherry tomatoes, broccoli, mulberries, cranberries, and 0.2 mg/kg for figs, respectively. These results would be considered as important references for monitoring and assessing the quality safety of agricultural products and protecting consumer health.

Determinants of Breeding Farmers' Safe Use of Veterinary Drugs: A Theoretical and Empirical Analysis.

As food safety has attracted the widespread attention of society, the quality safety of agricultural products has become an important part of food safety and also confronts multiple challenges. In fact, the safe use of veterinary drugs in the production process has become one of important guarantees for the quality safety of agricultural products. It’s of great significance to regulate the breeding farmers’ safe use of veterinary drugs and to create a safe and healthy production environment for agricultural products. A field survey of individual and large-scale swine breeding farmers in four typical provinces including Henan, Shandong, Jiangxi and Guizhou generated 397 questionnaires. This field survey conducted the internal and external classification of breeding farmers’ safe use of veterinary drugs and defined the breeding farmers’ safe use of veterinary drugs in the light of dosage, type and standardized operation of veterinary drugs. Based on Lewin’s behavior theory, the survey used the structural equation modeling method to systematically examine the generation path of breeding farmers’ safe use of veterinary drugs. The comprehensive analysis reveals that breeding farmers’ knowledge about veterinary drugs, the attitudes toward the government supervision and the market environment of breeding activities all exert some effects on breeding farmers’ use of veterinary drugs. Some suggestions and countermeasures for breeding farmers’ safe use of veterinary drugs are provided as follows: First, more efforts should be pumped into publicity and instruction so that breeding farmers can have a better understanding of veterinary drugs. Second, preferential policies should be formulated to encourage the breeding farmers’ participation in the industrial organizations of swine breeding farmers, and advocate the industrial organizations’ active provision of different technical trainings. Third, the communication and cooperation platform should be created among breeding farmers, slaughter and processing plants and supermarkets, the poultry insurance market should be regulated, and the insurance purchase process should be improved. Fourth, when more subsidies for harm-free and environment-friendly veterinary drugs are provided, more serious punishments should be imposed on the unsafe use of veterinary drugs to offer policy support for the breeding farmers’ standardized use of veterinary drugs.

Research on Monitoring Platform of Agricultural Product Circulation Efficiency Supported by Cloud Computing

In order to fully use Internet of things to solve the agricultural fine production, fertilizer, fine and precise control, full traceability and other bottlenecks, and to solve the quality safety of agricultural products from the source and agriculture environmental pollution, a networking application system for modern agriculture is constructed, and networking intelligent gateway based on open source hardware is designed and developed, which realizes the video monitoring function based on motion detection. In addition, basic cloud platform system for modern agriculture network monitoring system is designed and achieved. Based on the RESTful interface service system provided by cloud platform, ExtJs client technology and WeChat re applied in the development and realization of the Demo system of an application layer. As a result, it shows part of application assumption of agricuture network monitoring system, and designs the big data processing and analysis module. What’s more, the Hadoop platform is used to achieve massive data processing produced by applications of Internet of things, and combined with machine learning technology, the corresponding model is established. It is concluded that the best solution is given such as crop variety selection, production and cultivation management and time to market.

RETRACTED ARTICLE: Agricultural product monitoring system supported by cloud computing

In order to fully use Internet of things to solve the agricultural fine production, fertilizer, fine and precise control, full traceability and other bottlenecks, and to solve the quality safety of agricultural products from the source and agriculture environmental pollution, a networking application system for modern agriculture is constructed, and networking intelligent gateway based on open source hardware is designed and developed, which realies the video monitoring function based on motion detection. In addition, basic cloud platform system for modern agriculture network monitoring system is designed and achieved. Based on the RESTful interface service system provided by cloud platform, ExtJs client technology and WeChat re applied in the development and realization of the Demo system of an application layer. As a result, it shows part of application assumption of agriculture network monitoring system, and designs the big data processing and analysis module. What’s more, the Hadoop platform is used to achieve massive data processing produced by applications of Internet of things, and combined with machine learning technology, the corresponding model is established. It is concluded that the best solution is given such as crop variety selection, production and cultivation management and time to market.

Design of agricultural product quality safety retrospective supervision system of Jiangsu province

In store and supermarkets to consumers can trace back agricultural products through the electronic province card to query their origin, planting, processing, packaging, testing and other important information and found that the problems. Quality and safety issues can identify the responsibility of the problem. This paper designs a retroactive supervision system for the quality and safety of agricultural products in Jiangsu Province. Based on the analysis of agricultural production and business process, the goal of Jiangsu agricultural product quality safety traceability system construction is established, and the specific functional requirements and non-functioning requirements of the retroactive system are analyzed, and the target is specified for the specific construction of the retroactive system. The design of the quality and safety traceability system in Jiangsu province contains the design of the overall design, the trace code design and the system function module.

Model of Combined Transport of Perishable Foodstuffs and Safety Inspection Based on Data Mining

There is still no effective means to analyze in depth and utilize domestic mass data about agricultural product quality safety tests in china now. The neural network algorithm, the classification regression tree algorithm, the Bayesian network algorithm were selected according to the principle of selecting combination model and were used to build models respectively and then combined, innovatively establishing a combination model which has relatively high precision, strong robustness and better explanatory to predict the results of perishable food transportation meta-morphism monitoring. The relative optimal prediction model of the perishable food transportation metamorphism monitoring system could be got. The relative perfect prediction model can guide the actual sampling work about food quality and safety by prognosticating the occurrence of unqualified food to select the typical and effective samples for test, thus improving the efficiency and effectiveness of sampling work effectively, so as to avoid deteriorated perishable food’s approaching the market to ensure the quality and safety of perishable food transportation. A solid protective wall was built in the protection of general perishable food consumers’ health.

三亚市崖州区农产品质量安全检测站运行管理现状与发展对策

崖州区农产品质量安全检测站运用PR-202GT-32、Agilent 7890 GC和Agilent 1260 LC等仪器检测出岛瓜果菜，执行GB/T5009.199-2003 (蔬菜中有机磷和氨基甲酸酯类农药残留量的快速检测)和NY/T 761-2008 (蔬菜和水果中有机磷、有机氯、拟除虫菊酯类和氨基甲酸酯类农药多残留的测定)标准检测出岛瓜果菜，检测分析数据及时汇报农业行政主管部门，农业行政主管部门依据检测数据进行出岛瓜果菜田间溯源监管，提升我市农产品质量安全检测能力，确保农产品质量安全，促进农民增收。崖州区农产品质量安全检测站利用快速定性农药残留检测技术和定量分析技术结合，规范三亚市农产品质量安全检测工作从田间到流通市场溯源，节约检测能源、节省时间、提高经济效益。此次阐述崖州区农产品质量安全检测运行管理现状与发展对策。 Sanya Yazhou area agricultural products quality and safety testing station has used the PR-202GT- 32, Agilent 7890 GC and Agilent 1260 LC instrument, etc. to detect the fruit and vegetables of the island. GB/T5009.199-2003 (rapid determination for organophosphate and carbamate pesticide residues in vegetables) and NY/T 761-2008 (pesticide multireside screen methods of organo-phosphorus pesticides, organochlorine pesticeds, pyrethroid pesticides and carbamate pesticides in vegetables and fruit) standards are used to detect island fruits and vegetables, and to test and analysis data in a timely manner to report the competent administrative department for agricul-ture. The competent administrative department for agriculture traceability regulates between fruit and vegetable plantation on the island to promote our city agricultural product quality safety inspection ability, ensure the quality and safety of agricultural products and promote the farmers’ income. Sanya Yazhou area agricultural products quality and safety testing station, using rapid qualitative detection technology of pesticide residue, is combined with quantitative analysis, normalizing produce quality safety work of Sanya by backing from the field production to the market, saving energy, saving time and improving the economic benefit. This paper illustrates the present situation and development countermeasures of Yazhou area agricultural products quality and safety testing station operation management.

Research on the Market Access of Cold Chain Logistics Service Quality Safety for Agricultural Products

The cold chain logistics service quality safety of agricultural means that cold chain logistics services must meet requirements relating to human health, safety and quality. It needs to be regulated by law, compulsory supervision and security, which mainly refers to the quality of service safety. From the connotation of the cold-chain logistics service quality safety of agricultural products market access analysis, this article cards the agricultural cold chain logistics service quality safety market access system components and puts forward the system frame of quality safety of agricultural products cold chain logistics service market access policy.

Incentive Decision on Safety Investment of Supply Chain of Agricultural Products in “Agricultural Super-Docking”

Since the “agriculture super-docking” mode was introduced in China in 2007, remarkable success has been made in reducing the transaction cost and improving the quality safety of agricultural products. However, the quality safety issues of agricultural products still occur frequently because both specialized farmers’ cooperatives and supermarkets have insufficient safety investment. In order to study the necessity, goal, and incentive decision schemes of safety investment in “agriculture super-docking” supply chain, three kinds of models, which include noncooperatives distributed decision-making model, centralized decision-making model, and incentive coordination models led by cooperatives and supermarkets, are, respectively, set up in this paper. Conclusions are drawn as follows: when making the uncooperative decentralized decision, both cooperatives and supermarkets have the moral risks to decrease the safety investment, but appropriate measures can achieve the coordination of the supply chain; when achieving the coordination of supply chain, the two contacts under the guidance of cooperatives and supermarkets are the same, and the schemes of distributing profits are also the same. Moreover, a practical case is given to improve the effectiveness and feasibility of the incentive decision schemes.