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Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage

Soil compaction management relies on costly annual deep tillage. Variable-depth tillage or site-specific tillage modifies the physical properties of the soil at the required zones for the growth of crops. In this study, a depth control system was designed for the subsoiler of the tillage at various...

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Autores principales: Sabouri, Yashar, Abbaspour-Gilandeh, Yousef, Solhjou, Aliakbar, Shaker, Mohammad, Szymanek, Mariusz, Sprawka, Maciej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402494/
https://www.ncbi.nlm.nih.gov/pubmed/34451045
http://dx.doi.org/10.3390/s21165603
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author Sabouri, Yashar
Abbaspour-Gilandeh, Yousef
Solhjou, Aliakbar
Shaker, Mohammad
Szymanek, Mariusz
Sprawka, Maciej
author_facet Sabouri, Yashar
Abbaspour-Gilandeh, Yousef
Solhjou, Aliakbar
Shaker, Mohammad
Szymanek, Mariusz
Sprawka, Maciej
author_sort Sabouri, Yashar
collection PubMed
description Soil compaction management relies on costly annual deep tillage. Variable-depth tillage or site-specific tillage modifies the physical properties of the soil at the required zones for the growth of crops. In this study, a depth control system was designed for the subsoiler of the tillage at various depths. For this purpose, an algorithm was written to investigate the subsoiler location and soil compaction. A program was also developed to implement this algorithm using Kinco Builder Software to control the subsoiler depth, which was evaluated on the experimental platform. In this study, four compression sensors were used at a distance of 10 cm up to a depth of 40 cm on the blade mounted at the front of the tractor. The data of these sensors were used as the input and compared with the pressure baseline limit (2.07 MPa), and with the priority to select the greater depth, the depth of subsoiler was determined. At all three modes of sensor activation (single, collective, and combined), this system was able to operate the hydraulic system of the tractor and place the subsoiler at the desired depth through the use of the position sensors.
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spelling pubmed-84024942021-08-29 Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage Sabouri, Yashar Abbaspour-Gilandeh, Yousef Solhjou, Aliakbar Shaker, Mohammad Szymanek, Mariusz Sprawka, Maciej Sensors (Basel) Article Soil compaction management relies on costly annual deep tillage. Variable-depth tillage or site-specific tillage modifies the physical properties of the soil at the required zones for the growth of crops. In this study, a depth control system was designed for the subsoiler of the tillage at various depths. For this purpose, an algorithm was written to investigate the subsoiler location and soil compaction. A program was also developed to implement this algorithm using Kinco Builder Software to control the subsoiler depth, which was evaluated on the experimental platform. In this study, four compression sensors were used at a distance of 10 cm up to a depth of 40 cm on the blade mounted at the front of the tractor. The data of these sensors were used as the input and compared with the pressure baseline limit (2.07 MPa), and with the priority to select the greater depth, the depth of subsoiler was determined. At all three modes of sensor activation (single, collective, and combined), this system was able to operate the hydraulic system of the tractor and place the subsoiler at the desired depth through the use of the position sensors. MDPI 2021-08-20 /pmc/articles/PMC8402494/ /pubmed/34451045 http://dx.doi.org/10.3390/s21165603 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sabouri, Yashar
Abbaspour-Gilandeh, Yousef
Solhjou, Aliakbar
Shaker, Mohammad
Szymanek, Mariusz
Sprawka, Maciej
Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage
title Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage
title_full Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage
title_fullStr Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage
title_full_unstemmed Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage
title_short Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage
title_sort development and laboratory evaluation of an online controlling algorithm for precision tillage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402494/
https://www.ncbi.nlm.nih.gov/pubmed/34451045
http://dx.doi.org/10.3390/s21165603
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