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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8402494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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