Intelligent instrument to facilitate decision making in the evaluation of soil resistance to root penetration
Keywords: agricultural instrumentation, intelligent systems, signal processing, soil microprobe, soil penetrometer
AbstractThis contribution introduces an instrument for decision-making in agricultural processes based on the measurements and mapping of soil resistance to root penetration. Its development was based on a new and advanced instrumentation tool, enabling in almost real-time to acquire the necessary information for spatial variability analysis of plant root penetration resistance in soils, due to natural or artificial soil compaction processes, i.e., not only for an area of soil but also for a soil profile. The system allows soil resistance assays for both laboratory and agricultural fields. Moreover, the development focused on an intelligent instrumentation concept, as well as a microprobe (30º for the spire angle, 1,6 mm for the base diameter, and 30 mm of total length), with a strain-gage transducer sensor. Results have shown that measurements of soil resistance to plant root penetration can be performed up to the limit of (483.47 ± 0.69) N, with a resolution of 15.4 N. Additionally, the versatility of the system is verified for soil resistance data collection and its interpretation to root plant penetration, since they can be presented in table formats, one-dimensional graphs, two-dimensional and three-dimensional maps. Therefore, this system enables users to obtain a quick interpretation of the soil aggregation state in agricultural areas.
Download data is not yet available.
How to Cite
Rabello, L., & Cruvinel, P. (2009). Intelligent instrument to facilitate decision making in the evaluation of soil resistance to root penetration . Scientia Agricola, 66(5), 573-582. https://doi.org/10.1590/S0103-90162009000500001
Copyright (c) 2015 Scientia Agricola
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.All content of the journal, except where identified, is licensed under a Creative Common attribution-type BY-NC.