Department of Computer Science and Electronics, Faculty of Engineering, Universidad de la Costa, Barranquilla 080002, Colombia.
Department of Electronics Engineering, Faculty of Engineering, Universidad de Sucre, Sincelejo 700001, Colombia.
Sensors (Basel). 2022 Jul 15;22(14):5285. doi: 10.3390/s22145285.
The use of wireless sensor networks (WSN) for monitoring variables in agricultural environments and natural forests has been increasing in recent years. However, the sizing of these systems is affected by the inaccuracy of the radio wave propagation models used, leading to possible increased costs and measurement errors. This systematic literature review (SLR) aims to identify propagation models widely used in WSN deployments in agricultural or naturally vegetated environments and their effectiveness in estimating signal losses. We also identified today's wireless technologies most used in precision agriculture (PA) system implementations. In addition, the results of studies focused on the development of new propagation models for different environments are evaluated. Scientific and technical analysis is presented based on articles consulted in different specialized databases, which were selected according to different combinations of criteria. The results show that, in most of the application cases, vegetative models present high error values when estimating attenuation.
近年来，无线传感器网络（WSN）在农业环境和自然森林变量监测中的应用越来越多。然而，这些系统的规模受到所使用的无线电波传播模型的精度的影响，这可能导致成本增加和测量误差。本系统文献综述（SLR）旨在确定在农业或自然植被环境中广泛用于 WSN 部署的传播模型及其在估计信号损耗方面的有效性。我们还确定了当今在精准农业（PA）系统实施中最常用的无线技术。此外，还评估了针对不同环境开发新传播模型的研究结果。根据从不同专业数据库中查询的文章，基于科学和技术分析，根据不同的标准组合进行了选择。结果表明，在大多数应用案例中，植被模型在估计衰减时会产生较高的误差值。
