Author
Listed:
- Xiuyun Xue
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
National Citrus Industry Technical System Machinery Research Office, Guangzhou 510642, China
Guangdong Provincial Agricultural Information Monitoring Engineering Technology Research Center, Guangzhou 510642, China
Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510642, China)
- Kaixiang Zeng
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China)
- Nengchao Li
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China)
- Qin Luo
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China)
- Yihang Ji
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China)
- Zhen Li
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
National Citrus Industry Technical System Machinery Research Office, Guangzhou 510642, China
Guangdong Provincial Agricultural Information Monitoring Engineering Technology Research Center, Guangzhou 510642, China
Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510642, China)
- Shilei Lyu
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
National Citrus Industry Technical System Machinery Research Office, Guangzhou 510642, China
Guangdong Provincial Agricultural Information Monitoring Engineering Technology Research Center, Guangzhou 510642, China
Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510642, China)
- Shuran Song
(College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
National Citrus Industry Technical System Machinery Research Office, Guangzhou 510642, China)
Abstract
Citrus orchards in Southeast Asia are commonly grown in hilly areas, where the terrain is unsuitable for the operation of crop protection machinery. Conventional spraying equipment used in hilly orchards have a poor deposition effect. In this paper, a new air-assisted electrostatic sprayer was designed for hilly citrus orchards. The orthogonal method was conducted to determine the optimal spray parameters of the sprayer. To evaluate the spray performance of the optimized air-assisted electrostatic sprayer, field tests were carried out on a citrus orchard with various cultivation patterns. Based on the data of the field tests, a comprehensive evaluation model was constructed to quantitatively analyze the performance of the sprayer. Results indicate that the optimal parameters are a spray pressure of 0.5 MPa, applied voltage of 9 kV and air flow velocity of 10 m/s. The optimized air-assisted electrostatic sprayer has the best performance in the citrus under dense fence cultivation pattern, followed by dense dwarf cultivation pattern. Comparing to the other sprayers tested, the air-assisted electrostatic sprayer greatly improves the spray coverage on the leaf surfaces (abaxial and adaxial) under various cultivation patterns.
Suggested Citation
Xiuyun Xue & Kaixiang Zeng & Nengchao Li & Qin Luo & Yihang Ji & Zhen Li & Shilei Lyu & Shuran Song, 2023.
"Parameters Optimization and Performance Evaluation Model of Air-Assisted Electrostatic Sprayer for Citrus Orchards,"
Agriculture, MDPI, vol. 13(8), pages 1-13, July.
Handle:
RePEc:gam:jagris:v:13:y:2023:i:8:p:1498-:d:1204106
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