Author
Listed:
- Yueyue Li
(Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing Institute of Agricultural Mechanization, Nanjing 210014, China
School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
The Agriculture Ministry Key Laboratory of Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China)
- Bing Qi
(Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing Institute of Agricultural Mechanization, Nanjing 210014, China)
- Encai Bao
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
The Agriculture Ministry Key Laboratory of Agricultural Engineering in the Middle and Lower Reaches of Yangtze River, Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China)
- Zhong Tang
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)
- Yi Lian
(College of Transportation Engineering, Jiangsu Shipping College, Nantong 226010, China)
- Meiyan Sun
(College of Transportation Engineering, Jiangsu Shipping College, Nantong 226010, China)
Abstract
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.
Suggested Citation
Yueyue Li & Bing Qi & Encai Bao & Zhong Tang & Yi Lian & Meiyan Sun, 2025.
"Design and Analysis of Sowing Depth Detection and Control Device for Multi-Row Wheat Seeders Adapted to Different Terrain Variations,"
Agriculture, MDPI, vol. 15(3), pages 1-22, January.
Handle:
RePEc:gam:jagris:v:15:y:2025:i:3:p:290-:d:1579666
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