Analysis On Internet Of Things Based Tomato Environmental Information Collection And Tomato Water Demand In Solar Greenhouse

Water resources are the fundamental resource for human survival and development,which are also one of the important factors that affect agricultural production.Although China is rich in total water resources,it is low for the average.With the change of global climate,growth of population,and economic and social development,water consumption is increasing rapidly.Considering the utilization of agricultural water resources,the experience based extensive management mode not only wastes lots of water resources,but also worsens the supply contradiction and stability of agricultural water resources.With the development of Internet of Things(IOT)technology,communication technology and machine learning,these technologies are widely used in the field of agriculture,which can effectively realize the wide range perception,real-time transmission and intelligent decision-making,and thus promote the development of modern agriculture in terms of information and intelligence.The water demand during the crop growth period will be affected by its growth environment,so it is necessary to obtain the information of crop growth environment to improve crop yield and quality,reduce resource waste and guide production scientifically.Based on the acquired data of crop growth environment,the scientific prediction of water demand in different growth stages of crops can provide scientific basis for production decision-making,which is of great significance to reduce water waste and improve utilization efficiency of water resources.To obtain the crop growth environmental information and provide basis for scientific decision-making,this thesis takes the tomato in solar greenhouse as an example,and constructs a grown environment information collection system based on the IOT technology.A variety of different sensors are used to collect the tomato grown environmental information,including temperature,humidity,light and other environmental factors.On this basis,the technologies of GPRS(General Packet Radio Service)and LoRa(Long Range Radio)are used to effectively transmit these data,so as to realize the real-time acquisition of the tomato environmental information,which has the advantages of low power consumption and long distance.Next,the extreme gradient boosting(XGBoost)algorithm is used to analyze these environmental data scientifically,and then make an accurate prediction of crop water demand.The main works of this thesis are given as follows:(1)According to the requirements of the system,the overall design of the system is completed,including the selection of monitored environmental factors,the analysis of the wireless transmission technologies,prediction method based on environmental data,etc.,and the overall architecture of the system is also given.(2)With the overall design of the system,the selection and design of the hardware system are completed,including the selection of sensors,information acquisition module,power supply module,transmission module,and so on.Then the design and implementation of the software part is completed,including program flow design of the data acquisition module and the central base station module.(3)With the collected data,the XGBoost algorithm is used to analyze and process these data,so as to realize the prediction of greenhouse tomato water demand,where a good prediction result is achieved.Through the design of this system,the collection and transmission of tomato grown environmental information can be well realized in solar greenhouse,and the prediction of the tomato water demand can be realized through data analysis,which is helpful to alleviate the problems of the shortage of agricultural water and its low utilization efficiency,improve the utilization efficiency of water resources,and promote the rational use of water resources.