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Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face

For silage production, high bulk density (BD) is critical to minimize aerobic deterioration facilitated by oxygen intrusion. To precisely assess packing quality for bunker silos, there is a desire to visualize the BD distribution within the silage. In this study, a penetrometer-based mapping system...

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Autores principales: Li, Menghua, Jungbluth, Kerstin H., Sun, Yurui, Cheng, Qiang, Maack, Christian, Buescher, Wolfgang, Lin, Jianhui, Zhou, Haiyang, Wang, Zhongyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970087/
https://www.ncbi.nlm.nih.gov/pubmed/27399703
http://dx.doi.org/10.3390/s16071038
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author Li, Menghua
Jungbluth, Kerstin H.
Sun, Yurui
Cheng, Qiang
Maack, Christian
Buescher, Wolfgang
Lin, Jianhui
Zhou, Haiyang
Wang, Zhongyi
author_facet Li, Menghua
Jungbluth, Kerstin H.
Sun, Yurui
Cheng, Qiang
Maack, Christian
Buescher, Wolfgang
Lin, Jianhui
Zhou, Haiyang
Wang, Zhongyi
author_sort Li, Menghua
collection PubMed
description For silage production, high bulk density (BD) is critical to minimize aerobic deterioration facilitated by oxygen intrusion. To precisely assess packing quality for bunker silos, there is a desire to visualize the BD distribution within the silage. In this study, a penetrometer-based mapping system was developed. The data processing included filtering of the penetration friction component (PFC) out of the penetration resistance (PR), transfer of the corrected penetration resistance (PR(c)) to BD, incorporation of Kriged interpolation for data expansion and map generation. The experiment was conducted in a maize bunker silo (width: 8 m, middle height: 3 m). The BD distributions near the bunker silo face were represented using two map groups, one related to horizontal- and the other to vertical-density distribution patterns. We also presented a comparison between the map-based BD results and core sampling data. Agreement between the two measurement approaches (RMSE = 19.175 kg·m(−3)) demonstrates that the developed penetrometer mapping system may be beneficial for rapid assessment of aerobic deterioration potential in bunker silos.
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spelling pubmed-49700872016-08-04 Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face Li, Menghua Jungbluth, Kerstin H. Sun, Yurui Cheng, Qiang Maack, Christian Buescher, Wolfgang Lin, Jianhui Zhou, Haiyang Wang, Zhongyi Sensors (Basel) Article For silage production, high bulk density (BD) is critical to minimize aerobic deterioration facilitated by oxygen intrusion. To precisely assess packing quality for bunker silos, there is a desire to visualize the BD distribution within the silage. In this study, a penetrometer-based mapping system was developed. The data processing included filtering of the penetration friction component (PFC) out of the penetration resistance (PR), transfer of the corrected penetration resistance (PR(c)) to BD, incorporation of Kriged interpolation for data expansion and map generation. The experiment was conducted in a maize bunker silo (width: 8 m, middle height: 3 m). The BD distributions near the bunker silo face were represented using two map groups, one related to horizontal- and the other to vertical-density distribution patterns. We also presented a comparison between the map-based BD results and core sampling data. Agreement between the two measurement approaches (RMSE = 19.175 kg·m(−3)) demonstrates that the developed penetrometer mapping system may be beneficial for rapid assessment of aerobic deterioration potential in bunker silos. MDPI 2016-07-05 /pmc/articles/PMC4970087/ /pubmed/27399703 http://dx.doi.org/10.3390/s16071038 Text en © 2016 by the authors; 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Menghua
Jungbluth, Kerstin H.
Sun, Yurui
Cheng, Qiang
Maack, Christian
Buescher, Wolfgang
Lin, Jianhui
Zhou, Haiyang
Wang, Zhongyi
Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face
title Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face
title_full Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face
title_fullStr Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face
title_full_unstemmed Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face
title_short Developing a Penetrometer-Based Mapping System for Visualizing Silage Bulk Density from the Bunker Silo Face
title_sort developing a penetrometer-based mapping system for visualizing silage bulk density from the bunker silo face
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970087/
https://www.ncbi.nlm.nih.gov/pubmed/27399703
http://dx.doi.org/10.3390/s16071038
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