Abstract
<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;" lang="EN-GB">In light of the agricultural development in China, more attention has been paid to the studies about precision agriculture. The environmental factors such as temperature-humidity and soil humidity are the key influencing factors on crop growth, therefore, how to rapidly and accurately acquire the environmental information of crop growth and learn about their real-time growing environment is of vital importance. The wireless sensor networks (WSN) can make real-time environmental information acquisition as well as communication and processing of network environmental data. Based on this, the RSSI range-based positioning method was optimized in this paper in order to greatly improve its precision. To be specific, in this study, the particle swarm optimization (PSO) algorithm was firstly applied in the hybrid mutation strategy to make more accurate node positioning and significantly improve the evolutionary performance by enlarging the hunting zone; besides, through the use of WSN, the influencing parameters on crop growth such as soil humidity, and temperature-humidity etc. would be monitored; finally, to realize the precise location and derive the unseeded nodes, GPS was applied for accurate positioning, and the intelligence algorithm was adopted to determine the coordinate position of unknown nodes. At last, the actual field test indicates that the designed monitoring system in this paper satisfies the requirements for precise measurement, playing a positive role in promoting the development of precision agriculture.</span>
Highlights
As a large agricultural country, China is facing with the situations such as an increasingly fierce competition in the international market of agricultural products, declining product quality, and environmental deterioration [1,2,3]
Many wireless sensor modules together constitute the wireless sensor networks (WSN) system with small-size structure, convenient deployment of major modules, and the lower cost; it moves per the actual situation and acquire the information of related objects in the coordination and cooperation mode; the processed information is sent to the test staffs [7,8,9]
The WSN configuration can be divided into three parts: network nodes, topological structure, and transmission protocols [10,11,12]
Summary
As a large agricultural country, China is facing with the situations such as an increasingly fierce competition in the international market of agricultural products, declining product quality, and environmental deterioration [1,2,3]. How to reduce the consumption of resources by changing the traditional methods, and achieve a significant increase in production efficiency and output based on limited resources, is a key issue urgently to be solved. With the emergence of precision agriculture, the use of advanced technologies in agricultural production has, to some extent, achieved the goal of high efficiency and high output of agriculture. Precision agriculture is widely promoted due to the increasing popularity of WSN, and its prospects. Market demands in the country are extremely prominent, especially its major role in terms of promoting the intelligentization and informatization of agricultural development, [4,5,6]. The paper aims to make real-time monitoring of the growth and sowing of crops through such technologies, such as convenient networking, strong pertinence, and relatively lower costs, etc
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