Allison Renehan, B. Rombach, Anna Haikl, Corey Nolan, W. Lupton, E. Timmons, R. Bailey
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引用次数: 2

摘要

这项工作的重点是开发一种有效且具有成本效益的监测系统,用于收集葡萄园内的空间颗粒数据。目前,许多葡萄园经理依靠有限的数据和过去的经验来做出与霜冻预测、病虫害预测和灌溉优化有关的关键决策。考虑到单个葡萄园内的土壤条件和小气候差异很大,这种数据的缺乏阻碍了他们精确管理葡萄园。通过让利益相关者参与迭代原型开发,我们确定了葡萄园低成本、高密度传感器网络的关键设计特征。在功能上,一个理想的系统1)使用远程(LoRa)无线通信技术;2)在葡萄园的相关区域放置温度、湿度、土壤湿度和光强度传感器。此外,通过与行业竞争对手的接触,我们了解到市场缺乏低成本、高密度的传感器网络实现。使用LoRa可以在整个葡萄园的每个小气候中放置高密度的传感器,而不依赖于蜂窝覆盖。对温度、湿度、土壤湿度和光强度的关注目标是一套低成本、最小可行的指标,这些指标可以为关键模型和决策提供必要的信息。用户输入和现场访问表明,该系统必须能够承受恶劣的环境条件,并在不中断现场工作的情况下传递及时、可操作的数据。为了防止损坏和延长设备寿命,传感器外壳和连接需要防水和耐用。此外,葡萄种植方法在整个行业没有标准化,这意味着产品需要适应不同的种植风格。葡萄园管理者想要一个系统,通过提供数据和建立预测模型的结果来告知他们的决策。本文介绍的研究表明,结合这些特点并将成本降至最低的系统在葡萄园中是有价值的,同时也广泛适用于各种其他农业应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Power Wireless Networks in Vineyards
The focus of this work is developing an effective and cost-efficient monitoring system that collects spatially-granular data within a vineyard. Many vineyard managers currently rely on limited data paired with past experiences to make key decisions pertaining to frost prediction, pest and disease prediction, and irrigation optimization. Considering that soil conditions and microclimates vary significantly within a single vineyard, this lack of data prevents them from precisely managing their vines.By engaging stakeholders in iterative prototype development, we identified key design features of a low-cost, high-density sensor network for vineyards. Functionally, an ideal system 1) uses Long Range (LoRa) wireless communication technology; and 2) places temperature, humidity, soil moisture, and light intensity sensors in relevant areas throughout the vineyard. Additionally, by engaging with industry competitors, we learned that the market lacks low-cost, high-density sensor network implementations.Using LoRa allows for a high density of sensors to be placed in every microclimate throughout a vineyard without relying on cellular coverage. The focus on temperature, humidity, soil moisture, and light intensity targets a low cost, minimally-viable set of metrics that can provide the necessary information for key models and decisions.User input and site visits suggested that the system must endure harsh environmental conditions and relay timely, actionable data without disrupting fieldwork. To prevent damage and extend device lifetime, the sensor housing and connections need to be waterproof and durable. Further, vine growing methods are not standardized across the industry, meaning the product needs to be adaptable to different growing styles. Vineyard managers want a system that informs their decisions by providing data and the results of established prediction models. The research presented here shows that a system incorporating these features and minimizing costs will be valuable in vineyards while also being broadly applicable to a variety of other agricultural applications.
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