Discrete element analysis for the assessment of the accuracy of load cell-based dynamic weighing systems in grape harvesters under different ground conditions

González Montellano, Carlos and Baguena Isiegas, Eva and Ramírez Gómez, Álvaro and Barreiro Elorza, Pilar (2014). Discrete element analysis for the assessment of the accuracy of load cell-based dynamic weighing systems in grape harvesters under different ground conditions. "Computers and Electronics in Agriculture", v. 100 ; pp. 13-23. ISSN 0168-1699. https://doi.org/10.1016/j.compag.2013.10.008.

Description

Title: Discrete element analysis for the assessment of the accuracy of load cell-based dynamic weighing systems in grape harvesters under different ground conditions
Author/s:
  • González Montellano, Carlos
  • Baguena Isiegas, Eva
  • Ramírez Gómez, Álvaro
  • Barreiro Elorza, Pilar
Item Type: Article
Título de Revista/Publicación: Computers and Electronics in Agriculture
Date: January 2014
ISSN: 0168-1699
Volume: 100
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Construcción y Vías Rurales [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Dynamic weighing systems based on load cells are commonly used to estimate crop yields in the field. There is lack of data, however, regarding the accuracy of such weighing systems mounted on harvesting machinery, especially on that used to collect high value crops such as fruits and vegetables. Certainly, dynamic weighing systems mounted on the bins of grape harvesters are affected by the displacement of the load inside the bin when moving over terrain of changing topography. In this work, the load that would be registered in a grape harvester bin by a dynamic weighing system based on the use of a load cell was inferred by using the discrete element method (DEM). DEM is a numerical technique capable of accurately describing the behaviour of granular materials under dynamic situations and it has been proven to provide successful predictions in many different scenarios. In this work, different DEM models of a grape harvester bin were developed contemplating different influencing factors. Results obtained from these models were used to infer the output given by the load cell of a real bin. The mass detected by the load cell when the bin was inclined depended strongly on the distribution of the load within the bin, but was underestimated in all scenarios. The distribution of the load was found to be dependent on the inclination of the bin caused by the topography of the terrain, but also by the history of inclination (inclination rate, presence of static periods, etc.) since the effect of the inertia of the particles (i.e., representing the grapes) was not negligible. Some recommendations are given to try to improve the accuracy of crop load measurement in the field.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainAGL2012-39994-C03-02UnspecifiedUnspecifiedUnspecified

More information

Item ID: 35602
DC Identifier: http://oa.upm.es/35602/
OAI Identifier: oai:oa.upm.es:35602
DOI: 10.1016/j.compag.2013.10.008
Official URL: http://www.sciencedirect.com/science/article/pii/S0168169913002500
Deposited by: Memoria Investigacion
Deposited on: 24 Jun 2015 15:33
Last Modified: 21 May 2019 10:01
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