{"title":"Towards the Internet of Living Trees for Precision Agriculture","authors":"Jackson Liller, Trung Tran, Phuc Nguyen","doi":"10.1145/3614214.3614216","DOIUrl":null,"url":null,"abstract":"IoTree is a low-cost, low-maintenance, long-lived wearable sensing solution for monitoring the health of trees, providing fully autonomous renewable-energy collection and parameter sensing, compression, and transmission from over a mile away. The IoTree system is battery-free and operates on an opportunistic, block-based intermittent-computing paradigm; when the system is able to harvest enough energy via renewable sources, the LoRa controller will produce samples from the nutrient sensor and transmit the data to a base station for further analysis. Initial laboratory trials for IoTree demonstrate 91.08% and 90.51% accuracy in detecting ammonia and potassium oxide levels, respectively. Furthermore, a 30-day farm trial showed that the IoTree system could capture measurements regularly in the Grapevine farm deployment. IoTree is designed with open-source software, 3D models, and affordable off-the-shelf components, ensuring availability as a tool to educational institutes and hobbyists alike.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"34 1","pages":"5 - 10"},"PeriodicalIF":0.7000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GetMobile-Mobile Computing & Communications Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3614214.3614216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
IoTree is a low-cost, low-maintenance, long-lived wearable sensing solution for monitoring the health of trees, providing fully autonomous renewable-energy collection and parameter sensing, compression, and transmission from over a mile away. The IoTree system is battery-free and operates on an opportunistic, block-based intermittent-computing paradigm; when the system is able to harvest enough energy via renewable sources, the LoRa controller will produce samples from the nutrient sensor and transmit the data to a base station for further analysis. Initial laboratory trials for IoTree demonstrate 91.08% and 90.51% accuracy in detecting ammonia and potassium oxide levels, respectively. Furthermore, a 30-day farm trial showed that the IoTree system could capture measurements regularly in the Grapevine farm deployment. IoTree is designed with open-source software, 3D models, and affordable off-the-shelf components, ensuring availability as a tool to educational institutes and hobbyists alike.