Evaluation of Spray Drift of Plant Protection Drone Nozzles Based on Wind Tunnel Test

Author:

Wang Guobin1ORCID,Zhang Tongsheng1,Song Cancan1,Yu Xiaoqing2,Shan Changfeng1,Gu Haozheng1,Lan Yubin134

Affiliation:

1. College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255022, China

2. Plant Protection Station of Shandong Province, Jinan 250100, China

3. National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology (NPAAC), Ministry of Science and Technology, College of Electronics Engineering, South China Agricultural University, Guangzhou 510642, China

4. Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77845, USA

Abstract

The use of drones in agriculture is expanding at a brisk pace in crop production due to the superiority in precision, efficiency, and safety of their applicators. However, their potential drift risk also raises concern for users and regulatory authorities. The method of wind tunnel research can effectively evaluate the weighted influence of each drift factor, especially the drift characteristics of the nozzle and spray solution. Based on the wind tunnel test results, centrifugal nozzles have a higher drift risk than hydraulic nozzles, even with a similar DV50. The cumulative drift rate of the centrifugal nozzle at 2 m downwind was 90.1% compared to the LU12001 nozzle’s 40.6% under the wind speed of 3.5 m/s. Compared with the same coding as the flat fan hydraulic nozzle, the IDK nozzle can effectively reduce the drift rate. For the tested nozzles, DV50 and wind speed had a linear relationship with drift rate, and the sampling location had an exponential or logarithmic relationship with drift rate. Spray adjuvants, especially modified vegetable oils, had a significant effect on reducing the amount of drift. The results of this experiment provide a reference for the selection of nozzles and the addition of spray adjuvants. Further clarifying the spray drift characteristics of drones until a drift prediction model is available is still the focus of research.

Funder

Shandong Province Natural Science Foundation

Top Talents Program for One Case One Discussion in Shandong Province

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

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