UAV-UGV cooperative targeted spraying system for honey pomelo orchard

Authors

  • Yuli Chen 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;
  • Zibo Liu 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;
  • Zhen Lin 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;
  • Zifeng Xu 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;
  • Xianlu Guan 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;
  • Zhiyan Zhou 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China; 9. The Centre for Pesticide Application and Safety (CPAS), School of Agriculture and Food Sciences, the University ofQueensland, Gatton, QLD 4343, Australia
  • Dateng Zheng 7. Institute of Mechanical and Electrical Technology, Jinggangshan University, Ji’an, Jiangxi 343009, China; 8. Jiangxi Provincial Key Laboratory of Modern Agricultural Equipment, Ji’an, Jiangxi 343009, China;
  • Andrew Hewitt 9. The Centre for Pesticide Application and Safety (CPAS), School of Agriculture and Food Sciences, the University ofQueensland, Gatton, QLD 4343, Australia

Keywords:

plant protection, UAV-UGV cooperation, orchard, master-slave, targeted spraying, LiDAR

Abstract

To enhance adaptability in orchards with taller average tree heights and improve spraying effectiveness on Jinggang pomelo trees, this paper proposes a UAV-UGV cooperative targeted spraying system (UCTSS) and develops a prototype. The UCTSS primarily consists of a UAV and a UGV, networked using the Robot Operating System (ROS). During operation, boththe UAV and UGV navigate between tree rows while carrying the spraying module. When the UAV reaches suitable spraying positions, the UGV halts to activate the spraying module, and the UAV performs targeted spraying from top to bottom. The paper employs a master-slave method for basic formation control of the UAV and UGV, resulting in an average tracking errorof 0.118 m and a standard deviation of 0.040 m during testing. Additionally, a LiDAR-based targeted spraying detection method is designed and validated through simulation experiments, achieving an accuracy rate of 96% with an average position error of 0.13 m. Field trials in orchards demonstrate that the UCTSS meets stability requirements, with the average tracking error of the UAV measuring 0.158 m during coordinated movement and 0.013 m during spraying. In terms of spraying effectiv-eness, the UCTSS exhibits higher average droplet density and deposition values at various heights of the same tree compared tothe DJI-T50, along with a lower coefficient of variation between levels, resulting in a more uniform spraying effect. The feasibility of the UCTSS is validated, providing a novel approach for orchard protection in areas with taller average tree heights. Keywords: plant protection, UAV-UGV cooperation, orchard, master-slave, targeted spraying, LiDAR DOI: 10.25165/j.ijabe.20241706.8989 Citation: Chen Y L, Liu Z B, Lin Z, Xu Z F, Guan X L, Zhou Z Y, et al. UAV-UGV cooperative targeted spraying system for honey pomelo orchard. Int J Agric & Biol Eng, 2024; 17(6): 22–31.

Author Biographies

Yuli Chen, 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;

College of Engineering,Doctoral candidate

Zibo Liu, 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;

College of Engineering,Master Degree Candidate

Zhen Lin, 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;

College of Engineering,Master Degree Candidate

Zifeng Xu, 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;

College of Engineering,Master Degree Candidate

Xianlu Guan, 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China;

College of Engineering,Doctoral candidate

Zhiyan Zhou, 1. College of Engineering, South China Agricultural University and Guangdong Laboratory for Lingnan Modern Agriculture ,Guangzhou 510642, China; 2. Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI) , Guangzhou 510642, China; 3. Guangdong Engineering Research Center for Agricultural Aviation Application (ERCAAA), Guangzhou 510642, China; 4. Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University),Ministry of Education, Guangzhou 510642, China; 5. State Key Laboratory of Agricultural Equipment Technology, Guangzhou 510642, China; 6. Key Technology Innovation Research Center of Rice Smart Farming of South China Agricultural University -Dongyuan County, Heyuan City 517554, China; 9. The Centre for Pesticide Application and Safety (CPAS), School of Agriculture and Food Sciences, the University ofQueensland, Gatton, QLD 4343, Australia

College of Engineering,Professor

Dateng Zheng, 7. Institute of Mechanical and Electrical Technology, Jinggangshan University, Ji’an, Jiangxi 343009, China; 8. Jiangxi Provincial Key Laboratory of Modern Agricultural Equipment, Ji’an, Jiangxi 343009, China;

Institute of Mechanical and Electrical Technology, Professor

Andrew Hewitt, 9. The Centre for Pesticide Application and Safety (CPAS), School of Agriculture and Food Sciences, the University ofQueensland, Gatton, QLD 4343, Australia

The Centre for Pesticide Application and Safety (CPAS), School of Agriculture and Food Sciences, Professor

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Published

2024-12-24

How to Cite

Chen, Y., Liu, Z., Lin, Z., Xu, Z., Guan, X., Zhou, Z., … Hewitt, A. (2024). UAV-UGV cooperative targeted spraying system for honey pomelo orchard. International Journal of Agricultural and Biological Engineering, 17(6), 22–31. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/8989

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Section

Applied Science, Engineering and Technology