Wind field and droplet coverage characteristics of air‐assisted sprayer in mango‐tree canopies. Issue 11 (25th August 2022)

• Record Type: Journal Article
• Authors: Jiang, Shijie; Yang, Shenghui; Xu, Jiawei; Li, Wenwei; Zheng, Yongjun; Liu, Xingxing; Tan, Yu
• Is Part Of: Pest management science. Volume 78:Issue 11(2022)
• Page Start: 4892
• Page End: 4904
• Publication Date: 2022-08-25
• Subjects: air‐assisted sprayer -- wind field -- droplet coverage -- pest control -- foliage area volume density -- orchard; Pests -- Control -- Periodicals; Pesticides -- Periodicals; 632.9
• DOI: 10.1002/ps.7110
• Languages: English
• ISSNs: 1526-498X

Abstract

Abstract: BACKGROUND: Air‐assisted sprayers is one of the primary fruit tree pest control approaches in agricultural production. It is necessary to study the influence of multiple factors on both wind field and droplet coverage of air‐assisted sprayers. In this article, foliage area volume density (FAVD) and power gradient were considered factors, and field tests were conducted in an orchard to determine such influence. RESULTS: The results showed that in‐canopy wind speed was mainly affected by the air‐assisted sprayer. FAVD showed significance to the wind speed and droplet coverage inside canopies ( P < 0.001), compared with power gradient ( P > 0.05). With the increase of FAVD, the wind speed in the bottom layer of canopies first increased and then decreased, while the wind speed in the middle and top layers first decreased and then increased. Meanwhile, the wind field was mainly concentrated on the surface of canopies and gradually approached the canopy center as the power gradient increased. Furthermore, a Back‐Propagation (BP) neural network prediction model was constructed to predict droplet coverage at any canopy location to avoid repeated experiments. The overall correlation coefficient ( R ) of this model was about 0.731, indicating good fitting performance. CONCLUSION: FAVD has a significant effect on wind speed and droplet deposition inside the canopy, and the air‐assisted sprayer parameter setting should consider the effect of FAVD. The prediction model can predict droplet deposition inside the canopy without repeating. The study can provide a reference for selecting operating parameters of air‐assisted sprayers and help reduce droplet loss and environmental pollution. © 2022 Society of Chemical Industry. Abstract : Foliage area volume density (FAVD) and power gradient were considered factors, and field tests were conducted. The distribution pattern of wind field and droplet coverage within the canopy of fruit trees was illustrated. A Back‐Propagation (BP) neural network prediction model was constructed to predict droplet coverage within any canopy location.