Computer and Computing Technologies in Agriculture IX

1. Front Matter

   Pages I-XX

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2. The Growth Analysis in the Wheat Filling Process of the Two Hybrids and Their Parents Based on Richards Equation

   • Weiqing Wang

   Pages 1-7

3. Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition

   • Xuehua Zhao, Xueyan Liu, Daoliang Li, Huiling Chen, Shuangyin Liu, Xinbin Yang et al.

   Pages 8-18

4. Beta Function Law to Model the Dynamics of Fruit’s Growth Rate in Tomato: Parameter Estimation and Evaluation

   • Qiaoxue Dong, Lili Yang, Mei Qu, Qinglan Shi, Shangfeng Du

   Pages 19-26

5. A Web-Based Cooperation and Retrieval Model of Character Images for Ancient Chinese Character Research

   • Xuedong Tian, Songqiang Yang, Xuesha Jia, Fang Yang, Chong Zhang

   Pages 27-44

6. Research of Large-Scale and Complex Agricultural Data Classification Algorithms Based on the Spatial Variability

   • Hang Chen, Guifen Chen, Lixia Cai, Yuqin Yang

   Pages 45-52

7. An Algorithm for the Interactive Calculating of Wheat Plant Surface Point Coordinates Based on Point Cloud Model

   • Lei Xi, Guang Zheng, Yanna Ren, Xinming Ma

   Pages 53-63

8. Quick and Automatic Generation Method for the Evaluation Report of the Small Hydropower Substitute Fuel Project

   • Yingyi Chen, Jiani Xue, Huihui Yu, Jing Xu, Zhumi Zhen, Xingyue Tu et al.

   Pages 64-71

9. Aquaculture Access Control Model in Intelligent Monitoring and Management System Based on Group/Role

   • Qiyu Zhang, Yingyi Chen, Zhumi Zhen, Jing Xu, Ling Zhu, Liangliang Gao et al.

   Pages 72-81

10. A Decision Model Forlive Pig Feeding Selection

    • Xinxin Sun, Longqing Sun, Yiyang Li

    Pages 82-93

11. Study on Methods of Extracting New Construction Land Information Based on SPOT6

    • Lei Guo, Dongling Zhao, Rui Zhang, Meng Du, Zhixiao Li, Xiang Wang et al.

    Pages 94-106

12. Application of Remote Sensing Technology in Agriculture of the USA

    • Yuechen Liu, Weijie Jiao

    Pages 107-114

13. Aquatic Animal Disease Diagnosis System Based on Android

    • Min Sun, Daoliang Li

    Pages 115-124

14. Relationship Between Vegetation Coverage and Rural Settlements and Anti-desertification Strategies in Horqin Left Back Banner, Inner Mongolia, China

    • Jian Zhou, Fengrong Zhang, Yan Xu, Yang Gao, Xiaoyu Zhao

    Pages 125-142

15. China Topsoil Stripping Suitability Evaluation Based on Soil Properties

    • Yan Xu, Yuepeng Wang, Xing Liu, Dan Luo, Hongman Liu

    Pages 143-152

16. Design of Corn Farmland Monitoring System Based on ZigBee

    • Xiuli Si, Guifen Chen, Weiwei Li

    Pages 153-160

17. Simulation of Winter Wheat Yield with WOFOST in County Scale

    • Shangjie Ma, Zhiyuan Pei, Yajuan He, Lianlin Wang, Zhiping Ma

    Pages 161-172

18. Predicting S&P500 Index Using Artificial Neural Network

    • Shanghong Li, Jiayu Zhang, Yan Qi

    Pages 173-189

19. The Extraction Algorithm of Crop Rows Line Based on Machine Vision

    • Zhihua Diao, Beibei Wu, Yuquan Wei, Yuanyuan Wu

    Pages 190-196

20. Design of High-Frequency Based Measuring Sensor for Grain Moisture Content

    • Qinglan Shi, Yunling Liu, Wen Zhang

    Pages 197-207

The two volumes IFIP AICT 478 and 479 constitute the refereed post-conference proceedings of the 9th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2015, held in Beijing, China, in September 2015. The 122 revised papers included in this volume were carefully selected from 237 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, monitoring and automatic control technology; key technology and models of the Internet of things; intelligent technology for agricultural equipment; computer vision; computer graphics and virtual reality; computer simulation, optimization and modeling; cloud computing and agricultural applications; agricultural big data; decision support systems and expert systems; 3s technology and precision agriculture; quality and safety of agricultural products; detection and tracing technology; and agricultural electronic commerce technology.

• artificial intelligence
• classification
• clustering
• computer vision
• computers in agriculture
• crops
• decision support systems
• fruits
• image processing
• information systems applications
• intelligent sensing
• Internet of Things (IoT)
• machine learning
• plants
• remote sensing
• sensor applications
• sensors
• statistics
• wireless networks

• China Agricultural University, Beijing, China

  Daoliang Li, Zhenbo Li

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