Homogeneous Soil Moisture Sensor with High Repeatability for Different Soil Depths

Maier T, Kamm L, Heckmann A, Eskofier B (2023)

Publication Language: German

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2023

Pages Range: 342 - 343

Event location: Nuremberg, Germany DE

DOI: 10.5162/smsi2023/p32

Abstract

This paper presents a solution in measuring the moisture content of soil more reliably and more reproducibly. The sensor can detect moisture levels in different depths of the soil probed and in a more homogeneous way than comparable sensors that are commonly used. The repeatability of the measurement is also increased intrinsically because a larger soil volume is being sampled.

Authors with CRIS profile

Thomas Maier Machine Learning and Data Analytics Lab Björn Eskofier Machine Learning and Data Analytics Lab

How to cite

APA:

Maier, T., Kamm, L., Heckmann, A., & Eskofier, B. (2023, May). Homogeneous Soil Moisture Sensor with High Repeatability for Different Soil Depths. Poster presentation at Sensor and Measurement Science International 2023, Nuremberg, Germany, DE.

MLA:

Maier, Thomas, et al. "Homogeneous Soil Moisture Sensor with High Repeatability for Different Soil Depths." Präsentiert bei Sensor and Measurement Science International 2023, Nuremberg, Germany 2023.

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