Towards the Internet of Living Trees for Precision Agriculture

IF 0.7 Q4 TELECOMMUNICATIONS
Jackson Liller, Trung Tran, Phuc Nguyen
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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.
面向精准农业的活树互联网
IoTree是一种低成本、低维护、长寿命的可穿戴传感解决方案,用于监测树木的健康状况,提供完全自主的可再生能源收集和参数传感、压缩和传输,距离超过一英里。IoTree系统无需电池,采用基于块的间歇性计算模式;当系统能够通过可再生能源获得足够的能量时,LoRa控制器将从营养传感器产生样本,并将数据传输到基站进行进一步分析。初步的实验室试验表明,IoTree在检测氨和氧化钾水平方面的准确率分别为91.08%和90.51%。此外,一项为期30天的农场试验表明,IoTree系统可以在Grapevine农场部署中定期捕获测量数据。IoTree采用开源软件,3D模型和价格合理的现成组件设计,确保可用性作为教育机构和爱好者的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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