{"title":"面向精准农业的活树互联网","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":"{\"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}","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}
Towards the Internet of Living Trees for Precision Agriculture
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.