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Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Feed Research is the property of Editorial Board of Feed Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Southwest China Journal of Agricultural Sciences is the property of Editorial Department of Southwest China Journal of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

【Objective】 Research on remote sensing evaluation of cultivated land quality is of great significance to realize real-time and effective management and protection of cultivated land quality, promote the development of modern and efficient agriculture and ensure national food security.【Method】 The present paper took Conghua area as the study area, the spectral parameters were calculated and obtained from GF-1 image data by using various transformation technologies. And the correlation coefficient and variance inflation factor were used to select the spectral response of the cultivated land quality indicators. The remote sensing spectral response models of cultivated land quality in Conghua district were constructed based on linear（ PLSR） and nonlinear （BPNN, GA-BPNN） models, and the optimal model was used to realize the rapid inversion and spatial mapping of cultivated land quality.【Result】 The crop spectral response indexes of cultivated land quality were FD-3, SD-4, EVI and LR-4, and the correlation coefficients with cultivated land quality were 0.661, 0.663, 0.714 and-0.674, respectively, indicating that red and near infrared in GF-1 image were the crop spectral response bands of cultivated land quality. The PLSR, BPNN and GA-BPNN models were used to retrieve the cultivated land quality respectively. Compared with the inversion accuracy, it was found that the GA-BPNN model could quickly realize the inversion of cultivated land quality（R~2=0.64,NRMSE=10.75%）. Spatial mapping and validation of cultivated land quality using optimal model were conducted, and the results showed that the crop spectral indicators extracted from GF-1 satellite image data based on GA-BPNN model could quickly and accurately retrieve the cultivated land quality at regional scale. 【Conclusion】 The use of remote sensing technology is helpful to quickly understand the quality of cultivated land at the regional scale, improve the existing discipline system of cultivated land quality evaluation, promote the development of the discipline, and provide a theoretical basis for the subsequent spectral inversion of cultivated land quality. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Andrology is the property of Chinese Journal of Andrology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

China is facing a great challenge with grain demand. Meanwhile, the decline of farmland quality will affect the quality and safety of food. The existing methods of farmland quality monitoring are characterized by a long time period and a lack of detailed spatial information of farmland quality. They could not provide the data that meet the requirements of farmland quality monitoring. This study explored a new methods and mobile laboratory for farmland quality monitoring. A farmland quality monitoring indicator system consisting of the variables or predictors that can be fast measured spatially and temporally was first developed. In this study, a framework which integrated satellite remote sensing monitoring, unmanned aerial vehicle（UAV）monitoring, wireless sensor network（WSN）monitoring and in situ measurement method into a farmland quality monitoring mobile laboratory was built. This study also explored the integration of remote sensing, UAV, WSN and ground-based monitoring methods through middleware technologies that connect various components of the system. Moreover, this study developed of a farmland quality monitoring mobile laboratory with an optimal design of routines for fast collection of data. A on-site test was carried out in the area of farmland upgrade and reconstruction program, which took less than 2 hours to quick test 13 indicators for 5 sampling points showed higher efficiency and on-site analysis capability compared with traditional farmland quality monitoring method. This study overcame the gaps that currently exist in the traditional farmland quality monitoring methods, realized comprehensive and multi-scale monitoring of farmland quality, promoted the effectiveness of monitoring cultivated land, and enhanced the capacity of farmland management and protection. [ABSTRACT FROM AUTHOR]

Optimizing the layout of monitoring sample points according to the spatial distribution characteristics of cultivated land quality can improve the monitoring efficiency and accuracy of cultivated land quality. In this paper, the environmental factors that change synergistically with cultivated land quality were selected as auxiliary variables, the spatial variation characteristics of cultivated land quality were analyzed by geostatistics, and the layout scheme of cultivated land quality monitoring sample points was optimized by Cokriging method. The results showed that the interpolation accuracy of 66 monitoring points obtained by Cokriging under the optimal（5 km×5 km）grid interval was better than that of ordinary Kriging under the small（2 km×2 km）grid interval; Under the same grid layout, the interpolation accuracy of monitoring points obtained by Cokriging method was better than that of ordinary Kriging. This shows that the Cokriging method combined with easily obtained auxiliary variable information can optimize the layout of cultivated land quality monitoring points, obtain the sample point scheme with fewer monitoring points, reduce the cost and improve the accuracy of cultivated land quality monitoring. [ABSTRACT FROM AUTHOR]

Cultivated land is the oldest and most extensive human-land system formed by human civilization through the transformation of the earth′s surface for thousands of years. The ability of cultivated land system to maintain stable production and healthy environment is reflected in the quality characteristics of cultivated land, under certain technical and economic conditions within a certain period of time, and the development and utilization value is expressed as the resource attribute of cultivated land. This paper clarifies the cultivated land system, the quality of cultivated land and cultivated land resources, on the basis of cognitive connotation and evolution process. The "nature - humanity" constituent elements and their coupling relationship of cultivated land resources are analyzed, characteristics and formation mechanism of "horizontal-vertical" structure, "production-ecology-living" function synergy and transformation relationship. The exchange process and response mechanism of "matter-energy-information", and the service value and evolution law of "economy-ecologysociety", the cognitive system of cultivated land resources is constructed, which is "two-dimensional factor-triple function-multiple value". A new way of systematically recognizing cultivated land resources is proposed, deconstructing the internal mechanism and external value of cultivated land resources, service farmland protection and quality improvement and natural resource assets "two unified" management, to support the construction of a new pattern of resource utilization and cultivated land protection under high-quality crossdomain development. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Southwest China Journal of Agricultural Sciences is the property of Editorial Department of Southwest China Journal of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

目的 筛选胰腺癌差异表达基因，并分析其功能。方法 基于生物信息学技术从 GEO数据库获取胰腺 癌相关表达数据，利用GEO2R在线工具寻找差异表达基因（DEG），并对上述基因进行GO功能分析和KEGG通路富 集分析，利用 Cytoscape 软件构建蛋白互作网络图，并将筛选出的核心基因进行生存分析。结果 经筛选得到 GSE15471和 GSE62165数据集，共纳入 157例胰腺癌组织和 52例正常胰腺组织，分析得到 548个共表达的 DEG，其 中表达上调基因476个、表达下调基因72个（P均<0. 05）。GO功能分析和KEGG通路富集分析发现DEG的功能主 要涉及胶原蛋白分解代谢过程、细胞黏附、细胞外基质分解、ECM受体相互作用、补体和凝血级联、PI3K-Akt通路、 细胞因子-受体相互作用等；经 Cytoscape 软件构建蛋白互作网络图得到 6 个核心基因为 FN1、MMP2、PTPRC、IT‑ GAM、COL1A2和COL3A1，其中FN1、MMP2与患者的预后不良相关（P均<0. 05）。结论 DEG涉及的分子机制和信 号通路与胰腺癌的发生、发展相关，6个核心基因可能是治疗胰腺癌的潜在靶点和生物标志物。 [ABSTRACT FROM AUTHOR]

Copyright of Food & Machinery is the property of Food & Machinery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the acceleration of non-agricultural processes in China, the marginal cost of agricultural production is increasing, leading to the increasingly serious phenomenon of disordered abandonment and its adverse impact on national food security. Therefore, it is necessary to analyze the mechanism of abandoned behavior on the quality of cultivated land, especially the key index of farmland soil organic matter. In this study, the farmland of Haifeng, Lufeng, and Luhe, the main grain-producing areas in east Guangdong, was used as target areas. From 2015 to 2018, 205 typical subtropical farmland samples were tracked and monitored. Field survey and sampling, household surveys, and indoor laboratory analysis were used in combination with statistical analysis and a geodetector method to construct the typical abandonment behavior pattern in the study area and analyze the mechanism of the effects of abandonment on soil organic matter content in farmland under different geographical conditions. Results showed that there were four patterns of farmland abandonment in the study area：seasonal abandonment, adjustment abandonment, annual ring abandonment, and long-term abandonment. Among the total monitoring sites, 173 farmland samples were abandoned, accounting for 84.39% of the total, of which annual ring abandonment and long-term abandonment accounted for 59.03% of the total. Soil organic matter increased under all kinds of abandoned tillage patterns but decreased under long-term tillage. Results showed that the average increase during the four years was as follows：season abandonment （1.55 g kg-1 ）> adjustments abandonment（1.43 g·kg-1 ）> annual ring abandonment（0.27 g·kg-1 ）> long-term abandonment（0.24 g·kg-1 ）> long-term cultivation（-0.42 g kg-1 ). For different geographical situations, as the altitude increased, the of abandoned farmland in the soil organic matter decreased. If the water content in the field was too high or too low, the abandonment behavior would significantly affect soil organic matter. Compared with coastal sandy soil, the response of soil organic matter in lateritic red soil and red soil with higher bulk density was stronger than that in coastal sandy soil. Therefore, it is necessary to focus on the prevention of farmland quality degradation caused by abandoned tillage in the mesa area, in irrigated land, and in areas containing soil type with high bulk density. The behavior of farmland abandonment is very serious in some areas of China. Moreover, the effects of different types of abandoned land on soil organic matter content are different under different geographical situations. Therefore, it is necessary to formulate relevant policies and regulations to convert disordered abandonment into orderly abandonment. [ABSTRACT FROM AUTHOR]

Rapidly and accurately extracted cultivated land quantity and distribution information is the basis for studying the spatiotemporal patterns and ecological effects of cultivated land, and there is an urgent need for timely formulation of corresponding countermeasures for food problems. In recent years, the advancement of remote sensing technology has provided the possibility for the rapid acquisition of cultivated land information owing to the macroscopic, real-time, and economical properties of the technology. This paper summarized the research progress of the application of remote sensing technology in the extraction of cultivated land, commonly used data sources, classification algorithms, and temporal and classification objects in the research of domestic and foreign cultivated land extraction methods, and discussed the advantages and disadvantages of the above four categories in the process of extracting cultivated land information. With the increasing number of sensors, the temporal resolution, spatial resolution, and spectral resolution of remote sensing images are continuously improving, and the classification algorithm is constantly updated. Based on multi-source remote sensing data, the integration of intelligent classification algorithms for identifying cultivated land will become an inevitable development trend. [ABSTRACT FROM AUTHOR]

Big data can be utilized to realize the full development, utilization, sharing, and safety protection of alpine grassland resources. Taking Qinghai Province as an example, this study determined the data characteristics of alpine grassland resources and the requirements of the alpine grassland resource supervision business in order to formulate an alpine grassland resource database standard. XML （Extensible makeup language）technology was used to achieve unified data conversion. A unified management and control alpine grassland resource database was constructed using the Oracle and ArcGIS platforms. In this paper, the application of the alpine grassland resource database for grassland supervision was explained. This research overcomes the difficulties of poor independence and poor sharing of traditional data management, provides comprehensive and highly shared data support and technical support for alpine grassland management, and accelerates the process of informatization of alpine grassland resources. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South China Agricultural University is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South China Agricultural University is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Guangxi Normal University - Natural Science Edition is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to grasp the evolution and coordination characteristics of farmland multifunctionality in economically fast-developing areas, a study was conducted in the Pearl River Delta wherein the evaluation index system of farmland functions was constructed, and a mechanical model was introduced to analyze the spatial pattern of the farmland and coordination relationship among its sub-functions. The results showed that in the 15-year observation period from 2000 to 2015, the economic function, social function, and ecological function indices of farmland in the Pearl River Delta region showed a downward trend. However, after 2010, this downward trend began to slow down. There was a significant spatial difference in the degree of coordination between the various functions of farmland. The areas with high coordination were mainly in the suburbs of central cities and towns with high industrialization and modernization, while the imbalanced areas were distributed in traditional agricultural production areas. According to the degree of deviation from the coordination function of farmland, three types of quadrant were used to divide the study area. We have identified the short-term characteristics of farmland in each type of area, and put forward corresponding development suggestions. This study provides an effective method and case support for the systematic study of farmland multifunctionality. [ABSTRACT FROM AUTHOR]

Copyright of Southwest China Journal of Agricultural Sciences is the property of Editorial Department of Southwest China Journal of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Natural Resources / Ziran Ziyuan Xuebao is the property of Journal of Natural Resources and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Image & Graphics is the property of Editorial Office of Journal of Image & Graphics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Food safety has become a focus and the priority of people’s livelihood. The issues of safety of agricultural products are frequent occurred around the world in recent years. For food safety incidents in the society, while agricultural products due to the presence of large uncertainties in producing area conditions, planting and processing, quality supervision of the entire journey quality traceability becomes extremely urgent for agricultural products. Through to the food safety supervision and research situation around the world, it can be found that in the construction of food safety supervision work in countries around the world,, government is gradually strengthening the construction of supervision mechanism and implementing mandatory measures to guarantee food safety. Different kinds of food safety traceability system are also gradually established and put into use. Agricultural products quality traceability system has become an important mean to solve the problem of food safety. But the current research is mainly on the single product traceability system. The public service platform has not yet been reported. The problems for lack of such system development mainly include the inability to support many kinds of traces, lower accuracy in the process of the trace, high cost of doing business application. In this paper, we developed a system applicable to quality traceability of a variety of commonly used agricultural products by analyzing the software framework of universal system and the traceability information data structure characteristics, focusing on the dynamic expansion of the data model optimization techniques and tracing precision lifting technique based on LBS. Aiming at the problem of narrow application range, we analyzed the data structure characteristics of traceability information index model, and compared four dynamic extended data models. By using the method of combining EAV with XML data model, the dynamic extension of different variety tracing information was realized through visual interface. It was found that the model compared to the other two models shortened time by 65% and query efficiency by 175% through performance analysis. For traceability information on producing environmental conditions, we analyzed the various types of available data sources and characteristics,formulated the smallest unit of space and realization method. We also used LBS technology to achieve the automatic acquisition of the origin of the environmental information. As such we found that the technique significantly improved the traceability system of width, depth, accuracy. Therefore it enhanced the overall system tracing precision and reduced the data collection cost. Through the database performance analysis, we found that the system query efficiency increased by 1.5 times,less CPU time. By traceability system general comparison, it indicated that the system can apply to many varieties of agricultural products with a good accuracy. We tested the system in livestock products quality and safety in Qinghai province.The results showed that the system had good performance and functional versatility, the system had obvious advantage in query efficiency and traceability accuracy, suitable for all kinds of agricultural products quality traceability. [ABSTRACT FROM AUTHOR]