Determination of the soil compaction in real time on field with plate penetrometer and data filtering system - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue African Journal of Agricultural Research Année : 2017

Determination of the soil compaction in real time on field with plate penetrometer and data filtering system

Résumé

Soil compaction due to traffic is the process whereby soil bulk density is increased. The compaction level depends on the weight of the vehicle, and the soil susceptibility to compaction, which is characterized by its mechanical properties (that is, the stress-strain relationships). The plate penetrometer can be used to quantify the levels of soil compaction in-situ and supply a larger number of information on the control of this phenomenon, in real time. This paper evaluates the use of this tool with data filtering system assistance on semi confined compression assay, for predicting soil compaction in-situ, through parameters pre-compaction stress (spc) and soil compression Index (Cc). The tests were carried out on Experimental Agricultural Engineering Nucleus (NEEA in Portuguese) at West Paraná State University - UNIOESTE - Brazil. The sample collection was carried at points along the tire track, 24 h after soil compaction induced by the rear tractor wheel with one, five and ten passages, on the same track. The information system is able to read all data derived from the compression test and carry out a filtering on the data by means of pre-selected parameters, plotting the compression curves and regression equations. The analysis, carried out “in situ”, avoids laboratorial procedures and gives the farmer more agility in the decision process on the management of the agricultural machinery system.
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hal-02619473 , version 1 (25-05-2020)

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Joaquim Odilon Pereira, Juliano Rodrigo Lamb, Joao Candido Bracarense, Pauline Defossez, Guy Richard, et al.. Determination of the soil compaction in real time on field with plate penetrometer and data filtering system. African Journal of Agricultural Research, 2017, 12 (13), pp.1112-1120. ⟨10.5897/AJAR2016.11465⟩. ⟨hal-02619473⟩
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