Ela Drutter, Mario Milicevic, A. Skelin, M. Bonkovic
{"title":"基于增强现实的植物生长监测传感器数据可视化","authors":"Ela Drutter, Mario Milicevic, A. Skelin, M. Bonkovic","doi":"10.23919/softcom55329.2022.9911471","DOIUrl":null,"url":null,"abstract":"Augmented reality (AR) provides an interface for sensor data visualization thus allowing user to receive context aware information about the environment. In this paper we develop a prototype of a system that allows users to access important information (temperature, humidity) from monitored plants. The AR information is initialized with position markers and the data from sensors organized within the IoT paradigm is displayed in real-time. A description of the end-to-end solution is given which includes the Android app based on the Unity platform for data visualization, the AWS server for data storage and the plant models based on the NodeMCU ESP32 platform for data collection and retrieval. The results confirm that the presented framework is able to synchronize the transmission of data, and visualize and accurately map relevant plant growth information, which is important for successful horticulture.","PeriodicalId":261625,"journal":{"name":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"abs/2205.04548 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Augmented Reality Based Sensor Data Visualization for Plant Growth Monitoring\",\"authors\":\"Ela Drutter, Mario Milicevic, A. Skelin, M. Bonkovic\",\"doi\":\"10.23919/softcom55329.2022.9911471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Augmented reality (AR) provides an interface for sensor data visualization thus allowing user to receive context aware information about the environment. In this paper we develop a prototype of a system that allows users to access important information (temperature, humidity) from monitored plants. The AR information is initialized with position markers and the data from sensors organized within the IoT paradigm is displayed in real-time. A description of the end-to-end solution is given which includes the Android app based on the Unity platform for data visualization, the AWS server for data storage and the plant models based on the NodeMCU ESP32 platform for data collection and retrieval. The results confirm that the presented framework is able to synchronize the transmission of data, and visualize and accurately map relevant plant growth information, which is important for successful horticulture.\",\"PeriodicalId\":261625,\"journal\":{\"name\":\"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"volume\":\"abs/2205.04548 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/softcom55329.2022.9911471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/softcom55329.2022.9911471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Augmented Reality Based Sensor Data Visualization for Plant Growth Monitoring
Augmented reality (AR) provides an interface for sensor data visualization thus allowing user to receive context aware information about the environment. In this paper we develop a prototype of a system that allows users to access important information (temperature, humidity) from monitored plants. The AR information is initialized with position markers and the data from sensors organized within the IoT paradigm is displayed in real-time. A description of the end-to-end solution is given which includes the Android app based on the Unity platform for data visualization, the AWS server for data storage and the plant models based on the NodeMCU ESP32 platform for data collection and retrieval. The results confirm that the presented framework is able to synchronize the transmission of data, and visualize and accurately map relevant plant growth information, which is important for successful horticulture.