Miniaturized wireless water content and conductivity soil sensor systemShow others and affiliations
2019 (English)In: Computers and Electronics in Agriculture, ISSN 0168-1699, E-ISSN 1872-7107, Vol. 167, article id 105076Article in journal (Refereed) Published
Abstract [en]
Obtaining more data for the research/studies of plants growing may be easier realized when suitable non-destructive detection methods are available. We are here presenting the development of a miniaturised, low-power, real-time, multi-parameter and cost-effective sensor for measurements in mini plugs (growth of seedling). The detection technique is based on measurement of electrical impedance at two frequencies for sensing two soil parameters, water content and water conductivity (dependent on e.g. total ions concentration). Electrical models were developed and comply with data at two frequencies. An easy and efficient calibration method for the sensor is established by using known liquids’ properties instead of various soil types. The measurements show a good correlation between the sensor's readings and the traditional soil testing. This soil sensor can easily send data wirelessly allowing for spot checks of substrate moisture levels throughout a greenhouse/field, and/or enable sensors to be buried inside the soil/substrate for long-term consecutive measurements.
Place, publisher, year, edition, pages
Elsevier B.V. , 2019. Vol. 167, article id 105076
Keywords [en]
Easy calibration soil sensor, Miniaturised soil sensor, Multi-parameter electrical impedance, Soil water conductivity, Soil water content, Calibration, Cost effectiveness, Electric impedance, Electric impedance measurement, Parameter estimation, Soil moisture, Soil testing, Calibration method, Consecutive measurements, Cost-effective sensors, Electrical impedance, Nondestructive detection, Soil sensors, Soil water conductivities, Soil surveys
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-40919DOI: 10.1016/j.compag.2019.105076Scopus ID: 2-s2.0-85075369301OAI: oai:DiVA.org:ri-40919DiVA, id: diva2:1376768
Note
Funding details: 308313, 783221; Funding text 1: This work is partially funded by EU-FP7-ENV grant Zephyr – Zero-impact innovative technology in forest plant production (grant agreement No 308313 ) and by ECSEL JU grant AFarCloud – Aggregate Farming in the Cloud (grant agreement No 783221 ).
2019-12-102019-12-102023-05-16Bibliographically approved