Investigation of the possibility of extending soil moisture sensor data

Deák, Tamás and Bertóti, Réka Diána and Dobos, Endre (2022) Investigation of the possibility of extending soil moisture sensor data. GEOSCIENCES AND ENGINEERING: A PUBLICATION OF THE UNIVERSITY OF MISKOLC, 10 (15). pp. 37-49. ISSN 2063-6997

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Smart irrigation requires soil moisture (SM) data in order to determine the water needs of each point within the agricultural field. The aim of the study is to develop methodologies for testing different approaches and to present the provisional results. A complex methodology was applied to process and analyze the sensor data. First spatial variability was assessed using regression and geostatistical interpolation. A vertical distribution estimation was performed by extending the SM values of each sensor for all their depth levels. The latest results of this method show that the statistical correlations between the different depths can be used to characterize the soil types and their corresponding vertical SM distribution.

Item Type: Article
Uncontrolled Keywords: Soil science, soil moisture, statistics, Sentek, soil moisture sensor
Subjects: G Geography. Anthropology. Recreation / földrajz, antropológia, kikapcsolódás > GE Environmental Sciences / környezettudomány
Depositing User: MTMT SWORD
Date Deposited: 09 Aug 2023 11:34
Last Modified: 09 Aug 2023 11:34

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