Design and Analysis of Sowing Depth Detection and Control Device for Multi-Row Wheat Seeders Adapted to Different Terrain Variations
文献类型： 外文期刊
作者： Li, Yueyue 1 ; Qi, Bing 1 ; Bao, Encai 2 ; Tang, Zhong 2 ; Lian, Yi 4 ; Sun, Meiyan 4 ;
作者机构： 1.Minist Agr & Rural Affairs, Nanjing Inst Agr Mechanizat, Key Lab Modern Agr Equipment, Nanjing 210014, Peoples R China
2.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Peoples R China
3.Jiangsu Acad Agr Sci, Inst Agr Facil & Equipment, Agr Minist Key Lab Agr Engn Middle & Lower Reaches, Nanjing 210014, Peoples R China
4.Jiangsu Shipping Coll, Coll Transportat Engn, Nantong 226010, Peoples R China
关键词： wheat sowing; row drill; sowing depth control; laser sensor; straw residue
期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）
ISSN：
年卷期： 2025 年 15 卷 3 期
页码：
收录情况： SCI
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.
- 相关文献
作者其他论文 更多>>
-
Design and Analysis of a Sowing Depth Detection and Control Device for a Wheat Row Planter Based on Fuzzy PID and Multi-Sensor Fusion
作者：Li, Yueyue;Qi, Bing;Li, Yueyue;Bao, Encai;Tang, Zhong;Li, Yueyue;Bao, Encai;Lian, Yi;Sun, Meiyan
关键词：drill seeder; sowing depth; fuzzy PID; sensors
-
Evaluating the contribution of decreasing heights of photovoltaic panels on light environment and agricultural production in agrivoltaic systems
作者：Zhang, Long;Gong, Jianhui;Yang, Zhipeng;Wu, Xue;Wu, Cuinan;Bao, Encai;Zhang, Long;Bao, Encai;Gong, Jianhui;Wang, Wenju;Yang, Chen;Xu, Guijun
关键词：Agrivoltaics; Height; Light environment; Numerical simulation; Agricultural production
-
Regulatory effect of agriphotovoltaic systems with different panel heights on the thermal environment
作者：Gong, Wei;Zhang, Long;Gong, Jianhui;Geng, Xiayun;Wu, Cuinan;Bao, Encai;Zhang, Long;Wu, Cuinan;Bao, Encai;Wang, Li;Deng, Li
关键词：Agriphotovoltaics; Photovoltaic panel; Height; Thermal environment; Numerical simulation
-
Mechanosensing antagonizes ethylene signaling to promote root gravitropism in rice
作者：Wang, Han-Qing;Zhao, Xing-Yu;Tang, Zhong;Huang, Xin-Yuan;Wang, Peng;Zhao, Fang-Jie;Zhang, Wenhua;Zhang, Yunhui;Luan, Sheng
关键词：
-
Synergistic Effects of Elevated CO2 and Enhanced Light Intensity on Growth Dynamics, Stomatal Phenomics, Leaf Anatomy, and Photosynthetic Performance in Tomato Seedlings
作者：Pan, Tonghua;Zhang, Wenya;Fu, Bingyan;Lv, Gaoqiang;Du, Wentao;Zhou, Xiaoting;Cao, Kai;Bao, Encai;Wang, Yunlong
关键词：carbon dioxide; photosynthetic photon flux density; leaf structural plasticity; stomatal regulation; carbon assimilation efficiency;
Solanum lycopersicum Mill. -
Effect of the accompanying motion of combine harvester on soil compaction
作者：Fang, Meng;Tang, Zhong;Liu, Sifan;Ding, Zhao;Liang, Yaquan
关键词：Paddy soil; Parameter calibration; DEM; Dynamic Motion
-
The impact of photovoltaic plants on dryland vegetation phenology revealed by time-series remote sensing images
作者：Xia, Zilong;Guo, Shanchuan;Yuan, Bo;Yang, Chenghan;Du, Peijun;Xia, Zilong;Guo, Shanchuan;Yuan, Bo;Yang, Chenghan;Du, Peijun;Li, Yingjie;Bao, Encai;Chen, Ruishan;Tang, Pengfei
关键词：Photovoltaic plant; Dryland; Remote sensing; Phenology; Random forest
