Field Variation Characteristics of Sprayer Boom Height Using a Newly Designed Boom Height Detection System
文献类型: 外文期刊
作者: Dou, Hanjie 1 ; Zhai, Changyuan 1 ; Chen, Liping 1 ; Wang, Songlin 1 ; Wang, Xiu 1 ;
作者机构: 1.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
3.Northwest A&F Univ, Coll Mech & Elect Engn, Xianyang 712100, Peoples R China
4.Jiangsu Univ, Coll Agr Engn, Zhenjiang 212013, Jiangsu, Peoples R China
关键词: Boom sprayer; ultrasonic sensor; boom height variation; FFT; K-means
期刊名称:IEEE ACCESS ( 影响因子:3.367; 五年影响因子:3.671 )
ISSN: 2169-3536
年卷期: 2021 年 9 卷
页码:
收录情况: SCI
摘要: To ensure boom sprayer safety and spraying efficiency, the sprayer boom height must be adjusted during pesticide application. The field variation characteristics of the sprayer boom height are the basis of the boom balance adjustment. A boom height detection system based on ultrasonic sensors was designed. Field tests were performed in 2.0 ha of vacant fields and 13.44 ha of wheat stubble fields. A signal processing method based on the K-means clustering algorithm was used to preprocess the ultrasonic sensor data. The results showed that the K-means clustering algorithm could effectively improve the detection accuracy of an ultrasonic sensor. The boom height variation was greatest at the sides of the boom, and the primary frequencies of the boom height variation were concentrated within a low-frequency band from 0 Hz to 1 Hz. The U-turn operation was more likely to cause the boom to contact the crop canopy or the ground than row operation. As the spraying speed increased, the maximum boom height variation and maximum roll angle increased; these primary components decreased in frequency, and the amplitude clearly increased. The maximum boom height variation exceeded 50 cm, and the maximum roll angle exceeded 3 degrees, which not only aggravated the droplet drift but also caused damage to the boom and nozzles due to contact with the ground or the crop canopy. These findings can provide a theoretical basis for use in the development of an automatic boom height adjustment system.
- 相关文献
作者其他论文 更多>>
-
Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat
作者:Wu, Jianguo;Li, Chengqian;Pan, Xiaoyong;Wang, Xiu;Zhao, Xueguan;Zhai, Changyuan;Wu, Jianguo;Yang, Shuo;Wu, Jianguo;Zhai, Changyuan;Li, Chengqian;Pan, Xiaoyong;Wang, Xiu;Zhao, Xueguan;Yang, Shuo;Zhai, Changyuan;Gao, Yuanyuan
关键词:ultrasonic waves; crop canopy top detection; spray boom height; detection model; precision agriculture
-
Optimized Design of Robotic Arm for Tomato Branch Pruning in Greenhouses
作者:Ma, Yuhang;Chen, Liping;Feng, Qingchun;Sun, Yuhuan;Guo, Xin;Zhang, Wanhao;Wang, Bowen;Chen, Liping;Feng, Qingchun;Guo, Xin;Chen, Liping
关键词:agricultural robot; tomato pruning; manipulator; structural optimization
-
Review of the detasseling techniques for maize ( Zea mays L.) hybrid seed production
作者:Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan;Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan;Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan
关键词:detasseling technique; detasseling machine; UAVs; intelligent agriculture; maize hybrid seed production
-
Effect of Polymer Adjuvant Type and Concentration on Atomization Characteristics of Nozzle
作者:Hu, Peng;Zhang, Ruirui;Yang, Jiajun;Chen, Liping;Li, Longlong;Tang, Qing;Yan, Wenlong;Yang, Jiajun
关键词:polymer adjuvant; atomization; nozzle; PDI
-
Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model
作者:Wang, Zheli;Chen, Liping;Wang, Zheli;Fan, Shuxiang;An, Ting;Zhang, Chi;Chen, Liping;Huang, Wenqian
关键词:Maize seed; Insect infestation; Hyperspectral imaging; Deep learning; BiLSTM
-
YOLOv5s-CEDB: A robust and efficiency Camellia oleifera fruit detection algorithm in complex natural scenes
作者:Zhu, Aobin;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping
关键词:Camellia oleifera fruit; Natural scenes; Object detection; YOLOv5s
-
A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning
作者:Chen, Riqiang;Liu, Wenping;Zhou, Yan;Zhang, Chengjian;Chen, Riqiang;Yang, Guijun;Zhang, Chengjian;Han, Shaoyu;Meng, Yang;Feng, Haikuan;Chen, Riqiang;Liu, Wenping;Zhou, Yan;Yang, Hao;Jin, Xiuliang;Meng, Yang;Feng, Haikuan;Zhai, Changyuan;Han, Shaoyu
关键词:Apple; Leaf Nitrogen Content (LNC); Phenology; DNN; Data -Processing



