Assessing the capability of electrical capacitance tomography for monitoring chopped maize mass flow rates in field forage harvesters.

Zbigniew Gut, Aleksander Lisowski, Jacek Klonowski, Adam Świętochowski

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Zbigniew GutŁukasiewicz Research Network - Institute of Aviation, al. Krakowska 110/114, Warsaw, 02-256, Poland.

Aleksander LisowskiDepartment of Biosystems Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, Warsaw, 02-787, Poland. aleksander_lisowski@sggw.edu.pl.

Jacek KlonowskiDepartment of Biosystems Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, Warsaw, 02-787, Poland.

Adam ŚwiętochowskiDepartment of Biosystems Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, Warsaw, 02-787, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the potential and feasibility of Electrical Capacitance Tomography (ECT) for monitoring mass flow rates (MFR) of chopped maize in precision agriculture. The research, conducted using a stationary forage harvester stand, involved the analysis of whole Inagua maize samples weighing 5, 10, and 15 kg. These samples were further divided based on two moisture contents of 57% or 68%, and the geometric mean particle value was 9.39-12.69 mm, depending on the number of knives in the cutting unit. A 12-electrode capacitive sensor measured MFR, demonstrating less variation during calibration than a 6-electrode sensor. The study revealed a significant relationship between moisture content, particle size, and sensor capacitance, which was crucial for accurately converting capacitance measurements to MFR. The maximum mean value of the MFR was 3.18 kg·s

Indexed as

AgricultureElectric CapacitanceTomographyZea maysParticle SizeMaterial moistureParticle size distributionPrecision agricultureSensor capacitance

Identifiers

PMID40240797

DOI10.1016/j.powtec.2017.11.006

PMCPMC12003823

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.