Department of Biosystems Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran.
Fars Agricultural and Natural Resources Research and Education Center, Agricultural Engineering Research Department, Agricultural Research, Education, and Extension Organization (AREEO), Shiraz 71555-617, Iran.
Sensors (Basel). 2021 Aug 20;21(16):5603. doi: 10.3390/s21165603.
Soil compaction management relies on costly annual deep tillage. Variable-depth tillage or site-specific tillage modifies the physical properties of the soil at the required zones for the growth of crops. In this study, a depth control system was designed for the subsoiler of the tillage at various depths. For this purpose, an algorithm was written to investigate the subsoiler location and soil compaction. A program was also developed to implement this algorithm using Kinco Builder Software to control the subsoiler depth, which was evaluated on the experimental platform. In this study, four compression sensors were used at a distance of 10 cm up to a depth of 40 cm on the blade mounted at the front of the tractor. The data of these sensors were used as the input and compared with the pressure baseline limit (2.07 MPa), and with the priority to select the greater depth, the depth of subsoiler was determined. At all three modes of sensor activation (single, collective, and combined), this system was able to operate the hydraulic system of the tractor and place the subsoiler at the desired depth through the use of the position sensors.
土壤压实管理依赖于昂贵的年度深耕。变深耕作或特定地点耕作可以在作物生长所需的区域修改土壤的物理性质。在这项研究中，为不同深度的耕作中深松机设计了一个深度控制系统。为此，编写了一个算法来研究深松机的位置和土壤压实情况。还开发了一个程序，使用 Kinco Builder 软件来实现该算法，以控制深松机的深度，并在实验平台上进行了评估。在这项研究中，在安装在拖拉机前部的刀片上，从距离刀片 10 厘米到 40 厘米的深度处使用了四个压缩传感器。这些传感器的数据被用作输入，并与压力基准线限制（2.07 MPa）进行比较，并优先选择更大的深度，从而确定深松机的深度。在传感器激活的所有三种模式（单个、集体和组合）下，该系统都能够通过使用位置传感器来操作拖拉机的液压系统，并将深松机放置在所需的深度。
