Christine Joy H. Pornillos, Mark Stephen O. Billones, J. Leonidas, Erica May A. Reyes, Bennyvic Joyce J. Esguerra, Dominic P. Bolima, Ronnie S. Concepcion
{"title":"Smart Irrigation Control System Using Wireless Sensor Network Via Internet-of-Things","authors":"Christine Joy H. Pornillos, Mark Stephen O. Billones, J. Leonidas, Erica May A. Reyes, Bennyvic Joyce J. Esguerra, Dominic P. Bolima, Ronnie S. Concepcion","doi":"10.1109/HNICEM51456.2020.9399995","DOIUrl":null,"url":null,"abstract":"Nowadays, humans tend to rely on anything that is equipped with automatic control. One of the applications is in the field of agriculture. In order to help in water conservation and less human labor, the researchers designed a smart irrigation control system with the help of wireless sensor networks through the use of a customized server as an Internet–of–things platform. In achieving the objectives of the study, the researchers used both developmental and experimental methods to determine the accuracy and functionality of the system and to measure the water consumption comparison between a smart irrigation control system and conventional method of irrigation. Wemos D1 Mini was used as the main microcontroller of this study. T–test was used as the statistical tool to determine if the experiment results are significant. The design and development of a microcontroller–based wireless sensor network improves the way of irrigation system with effective functionality of every components in the system. The system is accurate in terms of its sensing capabilities and accuracy. Based on the findings of the study, the plants are sufficiently and automatically supplied with certain water requirement.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM51456.2020.9399995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Nowadays, humans tend to rely on anything that is equipped with automatic control. One of the applications is in the field of agriculture. In order to help in water conservation and less human labor, the researchers designed a smart irrigation control system with the help of wireless sensor networks through the use of a customized server as an Internet–of–things platform. In achieving the objectives of the study, the researchers used both developmental and experimental methods to determine the accuracy and functionality of the system and to measure the water consumption comparison between a smart irrigation control system and conventional method of irrigation. Wemos D1 Mini was used as the main microcontroller of this study. T–test was used as the statistical tool to determine if the experiment results are significant. The design and development of a microcontroller–based wireless sensor network improves the way of irrigation system with effective functionality of every components in the system. The system is accurate in terms of its sensing capabilities and accuracy. Based on the findings of the study, the plants are sufficiently and automatically supplied with certain water requirement.