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Table of Content
Volume 2 Issue 4, 26 December 2020
Experiences and Enlightenment into Development of an International Agricultural Scientific Observation Network
Shuai Yang, Guomin Zhou, Yan Zhuang

With the rapid proliferation of big data in the context of the fourth paradigm of science, the roles of agricultural observation networks have become increasingly prominent, especially in the discovery and application of scientific knowledge for r...

2020, 2(4):  5-13.  Doi: 10.19788/j.issn.2096-6369.200401
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Research on Standards for sharing Metadata of National Agricultural Observation Data
Jingchao Fan, Rui Man, Xianghe Zhang, Guomin Zhou

In China, long-term scientific and technological research has helped establish a basis for a national agricultural work system for the whole country. That process has involved obtaining agricultural data in 10 different fields; it has laid a solid...

2020, 2(4):  14-19.  Doi: 10.19788/j.issn.2096-6369.200402
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A Layout Method for National Crop Germplasm Resource Observation and Identification Station Systems
Yanqing Chen, Yongsheng Cao, Yunan Lin, Wei Fang
Objective

Obtaining accurate scientific observation and identification data is crucial to establishing a comprehensive layout of crop germplasm resource observation and identification sites. The purpose of this research was to e...

2020, 2(4):  20-28.  Doi: 10.19788/j.issn.2096-6369.200403
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Research on Opening sharing and Application of Fishery Scientific Observation Data
Muhan Xue, Huiyuan Liu, Feng Lu, Qingzhao Jiang

Fishery scientific observation data is the basic data accumulated in daily fishery observation work. It has wide application value in fishery resources assessment, fishing production, ecological environment, processing and breeding, disease contro...

2020, 2(4):  29-37.  Doi: 10.19788/j.issn.2096-6369.200404
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Research on Relevance Applications of Agro-microbial Data and Resource Utilization
Jingang Gu, Rui Ma, Shigui Li, Xiaotong Ma, Ruizhen Liang
Objective

Agro-microbial resources play a crucial role in agricultural production. Agro-microbial resources and data are integrated with each other and are closely related to the effects and methods of resource application. Ther...

2020, 2(4):  38-46.  Doi: 10.19788/j.issn.2096-6369.200405
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Quantitative Evaluation of Agricultural Product Safety Based on Risk Entropy
Zhijun Chen, Yan Liu, Yongzhong Qian
Objectives

Safety monitoring data for agricultural products are currently limited as most tested indicators of the monitored samples are recorded as “undetected”, presenting a major research obstacle as researchers must still at...

2020, 2(4):  47-54.  Doi: 10.19788/j.issn.2096-6369.200406
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Quantitative Risk Assessment of Newcastle Disease Virus Crossing into China via Migratory Birds
Shida Wang, Lili Wei, Jingfei Wang

This study aimed to assess the risk of infection of Newcastle Disease Virus (NDV) infection in domestic poultry through migratory birds and to provide early warning for the occurrence of NDV. A scenario tree model was established in which a wild b...

2020, 2(4):  55-62.  Doi: 10.19788/j.issn.2096-6369.200407
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Growth Curve Fitting Analysis of Main Beef Cattle Breeds in China
Bingxing An, Lupei Zhang, Xinghai Duan, Jiachun Zhang, Yushan Zhao, Lanling Xiong, Bo Zhu, Yan Li, Lingyang Xu, Weifeng Yuan, Junmin Zhang, Junya Li, Huijiang Gao
Objective

This research was conducted to fit growth curves for, and optimize body weight prediction models of, the main beef cattle breeds in China.

Methods

Based on more than 60,000 records of 22 ...

2020, 2(4):  63-69.  Doi: 10.19788/j.issn.2096-6369.200408
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Analysis of the Contents and Correlations of Nutrient Components in Different Maize Cultivars
Kai Li, Qinghua Huang, Ruqing Zhong, Liang Chen, Weifeng Yuan, Hongfu Zhang
Objective

This study analyzed the contents and composition of starch, non-starch polysaccharides (NSP), and nutritional components in grains of different maize cultivars, and evaluated correlations among the analyzed components....

2020, 2(4):  70-77.  Doi: 10.19788/j.issn.2096-6369.200409
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Conceptual Establishment of a Natural Enemy Resources Survey and Monitoring System Based on Big Data
Jiale Lv, Xuenong Xu
Objectives

Biological control using natural enemies offers an effective alternative to chemical control of pests and diseases. Biological control is also an important component of sustainable agriculture. China hosts an abundanc...

2020, 2(4):  78-85.  Doi: 10.19788/j.issn.2096-6369.200410
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Research on Data Fusion in Agricultural Scientific Observation Based on of Agricultural Environment
Guozheng Hu, Zhabu Ganzhu, Peidong Yu, Zhenlin Yang, Qingzhu Gao

Long term positioning observation is an important research method to reveal the evolution of global environmental structure and function. The scientific observation data accumulation in agriculture has a good foundation of experimental stations in...

2020, 2(4):  86-94.  Doi: 10.19788/j.issn.2096-6369.200411
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A Bibliometric Analysis of the Research Status of Soil Quality Evolution under Different Management Modes
Jiwei Ran, Xin Li, Yanfang Tian, Lei Wu, Nan Sun, Minggang Xu, Wenju Zhang
Objective

As human pressures on land resources intensify, the evolution of farmland soil quality under intensive cultivation has attracted extensive attention from scholars around the world. Objective analysis of the development...

2020, 2(4):  95-106.  Doi: 10.19788/j.issn.2096-6369.200412
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Research on Ownership and Protection Path of Observational Data in Agricultural Science
Yan Zhuang, Shuai Yang, Zhaokun Liu, Jingchao Fan, Shuya Zhou

As the information carrier of the change of the elements in agricultural production system, observational data in agricultural science is an important resource and factor that leads the high-quality development of agriculture and the modernization...

2020, 2(4):  107-112.  Doi: 10.19788/j.issn.2096-6369.200413
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Spectra, Images and Nitrogen Contents of Apple Leaves in Northern Liaoning Province, China
Xiaoli Wang, Qianhao Hu, Jingchao Fan, Zhuang Li

Nitrogen plays important roles in apple tree growth and development, as well as the apple nutrient content and yield. As a non-destructive testing method, near-infrared spectroscopy has the advantages of convenience and speed. Improved spectroscop...

2020, 2(4):  113-119.  Doi: 10.19788/j.issn.2096-6369.200414
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Spectral and Imaging Datasets of Apple Leaf Disease and Insect Pests in China in 2015
Fei Gao, Xiaoli Wang, Tingting Liu, Zhuang Li, Rui Man

China’s apple planting area and total output rank first in the world, but most of the current collection of spectral and imaging data from fruit trees focuses on apple leaf diseases and insect pests. In this study, the spectral reflectance and ima...

2020, 2(4):  120-124.  Doi: 10.19788/j.issn.2096-6369.200415
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