GreenhouseGuard: Enabling real-time warning prediction for smart greenhouse management

Juan Morales-García, Diego Padilla-Quimbiulco, Magdalena Cantabella, Belén Ayuso, Andrés Muñoz, José M. Cecilia
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Abstract

Greenhouses constitute intricate systems where numerous variables play a pivotal role in enhancing crop yields within the framework of intensive agriculture. Consequently, real-time monitoring and visualization of these variables are imperative to strike a balance between resource efficiency and production maximization. Furthermore, the ability to make predictive assessments regarding these variables is essential to avert potential greenhouse disasters. In this article, we introduce an intelligent alert system designed to efficiently oversee agricultural operations within a functioning greenhouse, ultimately bolstering productivity through the optimization of crop growth and energy consumption. This system comprises a web application, GreenhouseGuard, which improves the graphical and statistical representation of data collected by a network of sensors strategically positioned throughout the greenhouse, as well as the forecasts generated from this data. These sensors are strategically located to provide more precise real-time data readings, thereby minimizing error margins. Moreover, GreenhouseGuard offers diverse data visualization options and forecasts of greenhouse variables to enable in-depth analysis of the acquired information. Consequently, this alert system empowers greenhouse managers to proactively address abnormal situations that may jeopardize their crop yields.
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GreenhouseGuard:实现智能温室管理的实时预警预测
温室是一个复杂的系统,在集约化农业框架内,众多变量在提高作物产量方面发挥着关键作用。因此,必须对这些变量进行实时监测和可视化,以便在资源效率和产量最大化之间取得平衡。此外,对这些变量进行预测评估的能力对于避免潜在的温室灾害也至关重要。在本文中,我们将介绍一种智能警报系统,该系统旨在有效监督正常温室内的农业作业,最终通过优化作物生长和能源消耗来提高生产率。该系统包括一个名为 GreenhouseGuard 的网络应用程序,它能以图形和统计的方式改进由战略性地布置在整个温室内的传感器网络收集的数据,以及根据这些数据生成的预测。这些传感器的战略位置可提供更精确的实时数据读数,从而最大限度地减少误差。此外,GreenhouseGuard 还提供多样化的数据可视化选项和温室变量预测,以便对获取的信息进行深入分析。因此,该警报系统使温室管理人员能够积极应对可能危及作物产量的异常情况。
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