Tanomsak Wongmeekaew, S. Boonkirdram, Songgrod Phimphisan
{"title":"Wireless Sensor Network for Monitoring of Water Quality for Pond Tilapia","authors":"Tanomsak Wongmeekaew, S. Boonkirdram, Songgrod Phimphisan","doi":"10.1109/Ubi-Media.2019.00064","DOIUrl":null,"url":null,"abstract":"This research we present wireless sensor networks (WSNs) for monitoring of water quality of the pond Tilapia. By using the NodeMCU module WiFi to receive and collects signals from the peripherals sensor consists of a water level, dissolved oxygen, temperature and pH sensor for a tilapia pond and sending the sensor wireless signals to the central control unit using a Raspberry Pi controller for processing, database and display of water quality through the online auto-monitoring. The results showed that WSNs for monitoring water quality can be stored the database and showed the status normal, cautious and irregularities of the water quality well.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"65 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Ubi-Media.2019.00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This research we present wireless sensor networks (WSNs) for monitoring of water quality of the pond Tilapia. By using the NodeMCU module WiFi to receive and collects signals from the peripherals sensor consists of a water level, dissolved oxygen, temperature and pH sensor for a tilapia pond and sending the sensor wireless signals to the central control unit using a Raspberry Pi controller for processing, database and display of water quality through the online auto-monitoring. The results showed that WSNs for monitoring water quality can be stored the database and showed the status normal, cautious and irregularities of the water quality well.