{"title":"利用Arduino-Android接口实现的农业遥测系统","authors":"Wilton Lim, Hans Kaell Torres, C. Oppus","doi":"10.1109/HNICEM.2014.7016199","DOIUrl":null,"url":null,"abstract":"The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.","PeriodicalId":309548,"journal":{"name":"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"An agricultural telemetry system implemented using an Arduino-Android interface\",\"authors\":\"Wilton Lim, Hans Kaell Torres, C. Oppus\",\"doi\":\"10.1109/HNICEM.2014.7016199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.\",\"PeriodicalId\":309548,\"journal\":{\"name\":\"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM.2014.7016199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2014.7016199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An agricultural telemetry system implemented using an Arduino-Android interface
The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database. The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi, The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database. The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.