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Orchard Spray Study: A Prediction Model of Droplet Deposition States on Leaf Surfaces

文献类型： 外文期刊

作者： Li, Jun 1 ; Cui, Huajun 1 ; Ma, Yakun 1 ; Xun, Lu 3 ; Li, Zhiqiang 1 ; Yang, Zhou 2 ; Lu, Huazhong 2 ;

作者机构： 1.South China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China

2.South China Agr Univ, Key Lab Key Technol Agr Machine & Equipment, Minist Educ, Guangzhou 510642, Peoples R China

3.Univ Politecn Cataluna, Dept Agrifood Engn & Biotechnol, Parc Mediterrani Tecnol,Campus Baix Llobregat, Barcelona 08860, Spain

4.Jiaying Univ, Guangdong Prov Key Lab Conservat & Precis Utiliza, Meizhou 514015, Peoples R China

5.Guangdong Acad Agr Sci, Guangzhou 510640, Peoples R China

关键词： air-assisted spray; leaf characteristics; spray parameters; prediction of deposition state; parameter decision

期刊名称：AGRONOMY-BASEL （ 影响因子：3.417； 五年影响因子：3.64 ）

ISSN：

年卷期： 2020 年 10 卷 5 期

页码：

收录情况： SCI

摘要： During air-assisted spraying operations in orchards, the interaction between the droplets and the target leaves has a decisive influence on the retention of the droplets on the leaves and the final deposition state. Based on the observation of the final deposition effect of the droplets in the spray test, the retention state of the droplets on the leaves is divided into three categories: uniform distribution (hereinafter referred to as uniform), accumulation, and loss. During the initial interaction between the droplets and the leaves, the adhesion or sliding state of the droplets has an important influence on the final deposition state of the droplets, which is determined by the target leaf adhesion work in this paper. Based on obtaining the characteristic parameters of the leaf surface, a theoretical model of adhesion work related to parameters such as the contact angle, rough factor, and initial tilt angle of the leaf is established. Afterward, through the connection of the droplet coverage on the macro level, the establishment of the deposition state model of the droplet group on the leaf is completed. By conducting the experiment test based on the Box-Behnken design of response surface methodology (RSM), the droplet deposition states under the influence of the spray distance, fan outlet wind speed and droplet size were studied and compared with the predicted values. The test results show that the prediction accuracies of the three states of uniform, accumulation, and loss were 87.5%, 80%, and 100%, respectively. The results of the study indicate that the established prediction model can effectively predict the deposition states of droplets on leaves and provide a reference for the selection of spray operation parameters.

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