Quantitative Analysis of Correlation between Animal Husbandry and Planting in Northeast China based on Large-scale Data

다국어 초록 (Multilingual Abstract)

Data is considered as a new kind of strategic resource, which can dig out more potential value. The concept of agricultural big data has entered people's field of vision, and agricultural informatization plays an important role in promoting the optimization of agricultural industry. In this paper, we make analysis of industrial structure by using large-scale data. According to the grey correlation analysis, the result shows that correlation degree between planting and agriculture industry is higher, so it is very important to optimize the structure of agricultural industry in the northeast region. At the same time, we should make full use of information technology to improve the agricultural efficiency, improve the agricultural education and training system, and promote the development of modern agriculture.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Literature Review
• 2.1. Agricultural Information Service
• 2.2. Animal Husbandry Ecological Economy
• 2.3. Industrial Relevance Theory
• 3. Theoretical Model
• 3.1. Agricultural Industry Structure
• 3.2. Industrial Structure Optimization
• 3.3. Gray Correlation Degree Theory
• 4. Empirical Analysis
• 4.1. Gray Correlation Analysis
• 4.2. Correlation Coefficient
• 4.3. Industrial Structure Optimization and Economic Growth
• 4.4. Result Analysis
• 5. Conclusion
• 5.1. Optimize the Agricultural Structure System
• 5.2. Establish Agricultural Products Quality Standards
• 5.3. Strength Government's Macro Regulation and Control
• 5.4. Pay Attention to Technology and Develop Modern Agriculture
• Acknowledgments
• References