播种
地形
控制(管理)
农业工程
环境科学
农学
遥感
计算机科学
生物
地质学
工程类
生态学
人工智能
作者
Yueyue Li,Bing Qi,Encai Bao,Zhong Tang,Lian Yi,Meiyan Sun
出处
期刊:Agriculture
[Multidisciplinary Digital Publishing Institute]
日期:2025-01-29
卷期号:15 (3): 290-290
被引量:1
标识
DOI:10.3390/agriculture15030290
摘要
To address the issue of reduced sowing depth detection accuracy caused by varying soil topography during the operation of wheat row drills, an indoor bench test device suitable for wheat row drills was developed. The device integrates a laser sensor and an array sensor for terrain and sowing depth detection. The laser sensor provides the detected sowing depth values, while the array sensor captures different terrain features. The actual sowing depth values are obtained through the indoor experimental setup. The experiment includes three types of terrain: convex, concave, and flat. The terrain slope matrix is obtained using the array sensor, and terrain feature values are extracted. The laser sensor is then used to obtain the detected sowing depth, and the actual sowing depth is manually measured. PCA analysis is conducted to correlate terrain feature values with sowing depth deviations. Results indicate that under different terrain conditions, the slope mean and slope standard deviation are the main components affecting sowing depth deviations. Compared to using a single sensor, this system enables more accurate sowing depth measurement by analyzing terrain features. The device provides valuable data support for controlling sowing depth under varying terrain conditions in subsequent operations.
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