[学术文献] Variable sampling interval for energy-efficient heterogeneous precision agriculture using Wireless Sensor Networks 进入全文
Journal of King Saud University - Computer and Information Sciences
This study aims to examine the problem of sampling interval selection for the precision agriculture using Wireless Sensor Networks (WSNs). The Wireless Sensor Networks is introduced for limited energy sensor nodes and deployed in an agricultural farm, which is divided into a number of heterogeneous agricultural areas. A Variable Sampling Interval Precision Agriculture (VSI-PA) system is proposed to measure and monitor the agricultural parameters for appropriate agricultural activities e.g. water irrigation. At every time step, the sensor nodes are selected for each area to sense the soil moisture and temperature. After that, a variable sampling interval is calculated independently for each individual area, according to the soil temperature of the area. Analysis of simulation results show that, compared with other fixed sampling interval schemes, the proposed VSI-PA system provides a significant improvement in energy consumption while maintaining a small variation of the soil moisture regardless of the values of soil temperature. Therefore, the crop yields have been enhanced.
[学术文献] Electronic agriculture, blockchain and digital agricultural democratization: Origin, theory and application 进入全文
Journal of Cleaner Production
Agriculture is a key component of prosperous continuation of human civilization, meeting the basic needs of daily life. Democratization is an inevitable change in the development of political systems. Democratization as a general-purpose technological concept has given birth to a series of individual democratizations such as industrial democratization and financial democratization. Agricultural democratization is generally considered to bring freedom of information, improve agricultural production efficiency and, ultimately, form an open society, though this aspect of democratization is less studied than others.With the progress of science and technology, the practical application of information communication technology and blockchain technology in agriculture gives deeper digital significance to agricultural democratization, thus, further deriving the concept of “digital agricultural democratization”. This paper analyzes summarizes existing concepts, and analyzes the connotations and logical relationships between institutional concepts and technical concepts, such as agricultural democratization, agricultural autocratization, centralization, decentralization, information and communication technology, and blockchain, and proves that democratization and blockchain are general-purpose technologies which have “pervasiveness”. To realize the coupled nature of technical logic and institutional logic, we here define the concept of “digital agricultural democratization” which contains three important characteristics. To demonstrate this, we took the Beijing Liuminying Ecological Farm as a case study and proposed a “blockchain-based electronic agriculture” framework for its development and challenges. This framework incorporates the entire circular agricultural model of the ecological farm into the blockchain. The blockchain network automatically collects and uploads data through various types of smart devices, which expands the information set that can be used for sharing. This can solve problems such as asymmetric information, unreliable third-party institutions, and poor traceability of organic food. The innovation of the farm’s agricultural model provides a powerful example of a novel concept, and illustrates a reliable path for achieving “digital agricultural democratization”.
[学术文献] Intelligent algorithms for cold chain logistics distribution optimization based on big data cloud computing analysis 进入全文
In recent years, the rapid development of fresh food e-commerce in China has brought about more development opportunities for the cold chain logistics industry but has also presented new challenges. With the development of cloud computing and big data technology, it is increasingly important to study the application of big data and cloud computing technology in cold chain logistics. The purpose of this paper is to study the intelligent algorithm of cold chain logistics distribution optimization based on big data cloud computing analysis. Based on the constituent elements of the cold chain distribution problem and using cloud computing technology to obtain real-time traffic information in the transportation system through a unified access interface, this article analyses the distribution time and cost of refrigerated vehicles, thereby establishing a cold chain distribution vehicle path optimization model. By analysing the parallel programming mode of cloud computing, the parallel design and analysis of a coarse-grained genetic algorithm are used to solve the simulation model of the established optimization model. The experimental results show that the method of optimizing cold chain logistics vehicle routing using cloud computing is effective. When comparing 1, 2, 4, and 8 processors, the execution times are 19.89, 14.52, 8.12, and 6.41, respectively. It can be seen that the more processors there are, the shorter the calculation time.