开发和评估基于传感器的坡度补偿系统,用于玉米相机导航锄地

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Biosystems Engineering Pub Date : 2024-09-11 DOI:10.1016/j.biosystemseng.2024.09.006
Michael Spaeth , Marcus Saile , Daniel Riehle , Christian Kirchhoff , Roland Gerhards
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引用次数: 0

摘要

将传感器技术集成到商用传感器导向锄地系统中,以抵消重力,减少在坡地玉米田中因锄地偏移而造成的作物损害。在这项研究中,锄头配备了接触盘、传感器、电动缸和决策支持系统。锄头的偏移可根据支撑轮的自动调节角度进行实时补偿。在玉米地里,进行了为期两年的三项田间试验,以评估该系统在三种不同坡度(4 至 12°)上的效果。在锄草前一天和锄草过程中对每个地块的植物数量进行了测量,以评估作物损害情况。然而,对于支撑轮角度、坡度补偿强度(SCI)2 和 3,在任何试验中都没有出现明显的作物损失。因此,在传感器沿行引导过程中,锄头没有发生漂移。经过验证,所展示的开发成果是实用的,能够抵消斜坡上的重力。这项开发旨在优化精准机械除草的使用,并为农民在丘陵地带锄草提供支持。
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Development and evaluation of a sensor-based slope-compensation system for camera-guided hoeing in maize

Sensor technologies were integrated into a commercial sensor-guided hoeing system to counteract the force of gravity and reduce crop damage caused by the offset of hoeing in maize fields on sloping terrains. For this study, a hoe was equipped with a contact disc, sensors, an electric cylinder, and a decision support system. The offset of the hoe could be compensated in real time based on the automatic adjustment angle of the support wheel. In maize, three field experiments were conducted over two years to evaluate the system on three different slope gradients (between 4 and 12°). Plant populations were measured in each plot one day before and during hoeing to evaluate crop damage. However, for support wheel angle, Slope Compensation Intensity (SCI) 2 and 3, there were no significant crop plant losses in any trials. As a result, there was no hoe drifting during the sensor-based guidance along the rows. It has been verified that the development presented is functional and can counteract the force of gravity on slopes. This development aims to optimise the use of precision mechanical weed control and support farmers during hoeing on hilly terrain.

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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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