Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
