Research On Information Intelligent Acquisition Method Of Precision Agriculture Based On WSN

Agricultural Internet of things technology is crucial to modern agriculture.For agricultural engineering field condition,information acquisition difficulty is big and conventional methods are difficult to achieve.The core technology of the Internet of Things-Wireless Sensor Network(WSN),which uses self-organizing network to acquire information,is very suitable for the field of agricultural engineering.It not only effectively avoids the difficulty of wiring installation in the environment monitoring of complex agricultural projects,but also has low-power self-organizing network and accurate information transmission.WSN has unique advantages in intelligent information acquisition of agricultural environment.In view of the traditional agricultural engineering information access,usually adopts the field sampling,difficult and does not guarantee the timeliness,by satellite images,expensive,need specialized personnel for processing problems,this paper adopts "LoRa+WiFi+4G" integration used in agricultural engineering wisdom,to ensure that the limitation at the same time,more intelligent simplification,will be conducive to the development and popularization of agricultural engineering wisdom.According to the characteristics of agricultural environment,this paper analyzes the advantages and disadvantages of WSN key technologies,proposes a method of intelligent farmland information acquisition using "LoRa+WiFi+4G" and its implementation scheme,and develops an experimental system of long-distance low-power wireless sensor network based on LoRa technology.The hardware design and implementation method of LoRa terminal node and gateway system are studied,and three software subsystems are designed based on the hardware system,which are central platform software,gateway software and terminal node software.The automatic acquisition of agricultural environment information such as rice temperature and humidity is realized based on "LoRa+WiFi+4G",which improves the timeliness of information acquisition and is displayed on the Web platform interface,which reveal the time-space difference Law of crop yield and growth,and are used to timing,positioning and quantitative control of crop growth,so as to achieve the goal of increasing production and efficiency.The platform interface not only has humanized characteristic,but also facilitates agricultural scholars to establishmanagement models for crop cultivation and soil fertility by using the acquired information.In order to verify the system engineering properties,field testing was done on the experiment field at the entrance of Guangdong Ocean University.The most sensitive temperature and humidity data of rice were selected as the test parameters.The experimental results show that the system works stably with low power consumption and can work load for a long time.Also,the relative error of temperature and humidity obtained by the system is kept between 0% and 6% on the whole,and the temperature and humidity both have zero point of relative error,which is within the allowable error range of agricultural monitoring.The practice proves that the agricultural information acquisition method has good practicability based on "LoRa+WiFi+4G" technology.