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Updated: Jun 5, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
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In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

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基于Lipschitz插值的数据驱动的土壤湿度和温度的时空估计

J M Manzano1, L Orihuela2, E Pacheco3

  • 1Dpt. Ingeniería, Universidad Loyola Andalucía, Avda. de las Universidades, s/n, Dos Hermanas, 41704 Seville, Spain; ETEA Foundation Development Institute, Universidad Loyola Andalucía. Escritor Castilla Aguayo, 4. 14004 Córdoba, Spain.

ISA transactions
|December 4, 2024
PubMed
概括

这项研究引入了一种新的机器学习方法,用于估计农业土壤变量. 利普希茨插值技术有效地模拟了时空土壤动态,为复杂模型提供了更简单的替代方案.

关键词:
农业 土壤监测 农业 土壤监测实验验证实验验验证的验证利普希茨插值是利普希茨的插值.非参数式学习的学习方法时间空间估计.

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Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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