Gut Zbigniew, Lisowski Aleksander, Klonowski Jacek, Świętochowski Adam
Łukasiewicz Research Network - Institute of Aviation, al. Krakowska 110/114, Warsaw, 02-256, Poland.
Department of Biosystems Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, Warsaw, 02-787, Poland.
Sci Rep. 2025 Apr 16;15(1):13125. doi: 10.1038/s41598-025-97427-z.
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 ±0.93 kg·s, compared to the theoretical 3.75 kg·s. These findings have practical implications, highlighting the potential of ECT for precision agriculture applications. The study's results could significantly impact the development of precision farming technologies, particularly forage harvester monitoring systems. By providing a more accurate and reliable method for measuring mass flow rates, the ECT system could enhance the efficiency and quality of crop production. The study also underscores the need for further research, particularly in technology improvement, to improve measurement accuracy and adapt the ECT system to the dynamic field conditions of precision farming.
本研究探讨了电容层析成像(ECT)技术在精准农业中监测切碎玉米质量流量(MFR)的潜力和可行性。该研究使用固定的饲料收获机机架进行,涉及对重量为5千克、10千克和15千克的整个伊纳瓜玉米样本的分析。这些样本根据57%或68%的两种水分含量进一步划分,几何平均粒径为9.39 - 12.69毫米,具体取决于切割单元中的刀具数量。一个12电极电容式传感器测量了质量流量,在校准过程中显示出比6电极传感器更小的变化。该研究揭示了水分含量、颗粒大小和传感器电容之间的显著关系,这对于将电容测量准确转换为质量流量至关重要。质量流量的最大平均值为3.18千克·秒±0.93千克·秒,而理论值为3.75千克·秒。这些发现具有实际意义,突出了ECT在精准农业应用中的潜力。该研究结果可能会对精准农业技术的发展产生重大影响,特别是饲料收获机监测系统。通过提供一种更准确可靠的质量流量测量方法,ECT系统可以提高作物生产的效率和质量。该研究还强调了进一步研究的必要性,特别是在技术改进方面,以提高测量精度并使ECT系统适应精准农业的动态田间条件。