DOI: 10.5593/sgem2017/52/S20.044


S. L. Muraru, P. Schiopu, P. Cardei, V. Muraru, C. Muraru-Ionel
Wednesday 13 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-09-6 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 52, 335-342 pp, DOI: 10.5593/sgem2017/52/S20.044


Determination of soil properties is based on soil sampling with low resolution (1- 2 or more samples per hectare) and their analysis in the laboratory. This method does not provide sufficient data to highlight the significant variability of the soil properties for the analysed parcel. This leads to a uniform distribution of the nutrients that can also be synthetic chemical substances (pollutants). Since the soil properties can influence plants growth, high-resolution mapping is required by the help of some sensors mounted on systems in motion, correlated with the GPS spatial location, in order to collect data. On the other hand, it allows distribution of the nutrients locally, according to the necessary, and thus obtaining nutrients and fuel economy that has positive effects on the environment. In addition, other adverse effects are added, due to the intensive usage of heavy machinery with several crossings through the farmland, which causes degradation of the soil structure and possible increase of soil compaction. A solution to all these problems consists of combining multiple sensors into a single system simultaneously. The paper presents the combining mode of the sensors in motion, in order to determine the soil properties with implementation to a pH sensor. The soil pH is an important indicator in determining the necessary of nutrients in the soil and is in correlation with agricultural production. In this paper are also presented the architecture of a measuring module in motion with pH sensor, the command and control algorithm and the interfacing with other measuring modules for other types of sensors, etc.

Keywords: environmental protection, soil, sensors, nutrients, pH, etc.