Gutierrez Edgar Andres, Mondragon Ivan Fernando, Colorado Julian D, Mendez Ch Diego
School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia.
School of Electronics Engineering, Universidad Santo Tomás Colombia, Bogota 150001, Colombia.
Plants (Basel). 2022 Jun 21;11(13):1636. doi: 10.3390/plants11131636.
This paper proposes an integrated method for the estimation of soil moisture in potato crops that uses a low-cost wireless sensor network (WSN). Soil moisture estimation maps were created by applying the Kriging technique over a WSN composed of 11×11 nodes. Our goal is to estimate the soil moisture of the crop with a small-scale WSN. Using a perfect mesh approach on a potato crop, experimental results demonstrated that 25 WSN nodes were optimal and sufficient for soil moisture characterization, achieving estimations errors <2%. We provide a strategy to select the number of nodes to use in a WSN, to characterize the moisture behavior for spatio-temporal analysis of soil moisture in the crop. Finally, the implementation cost of this strategy is shown, considering the number of nodes and the corresponding margin of error.
本文提出了一种利用低成本无线传感器网络（WSN）估算马铃薯作物土壤湿度的综合方法。通过对由11×11个节点组成的无线传感器网络应用克里金技术，创建了土壤湿度估算图。我们的目标是使用小规模无线传感器网络估算作物的土壤湿度。在马铃薯作物上采用理想网格方法，实验结果表明，25个无线传感器网络节点对于土壤湿度特征描述是最优且足够的，估算误差<2%。我们提供了一种策略来选择无线传感器网络中使用的节点数量，以表征作物土壤湿度时空分析的湿度行为。最后，考虑节点数量和相应的误差范围，展示了该策略的实施成本。
