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Wang, Z., Li, C., Shao, H. and Sun, J. (2018) Eye Recognition with Mixed Convolutional and Residual Network (MiCoRe-Net). IEEE Access, 6, 17905-17912.
https://doi.org/10.1109/ACCESS.2018.2812208

has been cited by the following article:

• TITLE: Research on Intelligent Agricultural Planting System Based on Internet of Things Technology

  AUTHORS: Yunsheng Chen, Shuduo Zhao, Yunxu Zhou

  KEYWORDS: Internet of Things, Intelligent Agriculture, Sensor, Wireless Transmission, Data Collection

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.6, June 27, 2018

  ABSTRACT: Agriculture is the basic industry that concerns the national economy and people’s livelihood. In the process of transforming to modern agriculture, the traditional agriculture in our country faces the problems of ensuring the quality of agricultural production, adjusting agricultural industrial structures, improving the low production efficiency and low utilization rate of resources, and environmental pollution, thus it cannot meet the needs of sustainable agricultural development. Therefore, the research on intelligent agriculture technology is imperative. This paper analyzes the key technologies of Internet of things applied in the intelligent agriculture, presents the application of Internet of things technology in agricultural planting system, constructs the intelligent agricultural planting system based on the Internet of things technology, and designs the framework of the management platform.