Affiliation:
1. Institute of Plant Protection, Chinese Academy of Agricultural Sciences State Key Laboratory for Biology of Plant Diseases and Insect Pests Beijing China
2. College of Plant Protection China Agricultural University Beijing China
3. Honghe Prefecture Branch of Yunnan Tobacco Company Mile China
Abstract
AbstractBACKGROUNDUnmanned aerial vehicles (UAVs) for pesticide application show promising potential in tobacco pest management. However, the impact of flight parameters on spray efficacy requires further investigation. Three field experiments were conducted from the rosette to the maturation stage of tobacco to systematically assess spray efficacy under varying flight heights, speeds, and application volumes. Using a multi‐index weight analysis method, optimal operational parameter combinations for different tobacco growth stages were evaluated and compared with backpack electric sprayers.RESULTSFor the rosette stage, the recommended parameter is a flight speed of 5 m s−1, a flight height of 2 m, and a liquid application volume of 30 L hm−2; during the vigorous growth stage, the suggested parameter includes a flight speed of 3 m s−1, a flight height of 2 m, and a liquid application volume of 22.5 L hm−2. In the maturing stage, optimal parameter consists of a flight speed of 3 m s−1, a flight height of 3.5 m, and a liquid application volume of 30 L hm−2. Furthermore, UAV spraying achieves higher droplet deposition on both sides of tobacco leaves compared to traditional electric backpack sprayers.CONCLUSIONSAdjusting UAV spraying parameters for different tobacco growth stages is crucial. These results can provide the methods for the precise control technology of tobacco pests at different growth stages. © 2024 Society of Chemical Industry.
Reference34 articles.
1. Mapping tobacco fields using UAV RGB images;Zhu X;Sensors,2019
2. The applicability of different tobacco types to heated tobacco products;Chen J;Ind Crops Prod,2021
3. Tobacco pest monitoring feasibility analysis based on RS;Wang M;Adv Mater Res,2011
4. Construction of benchmark data set for intelligent identification of tobacco pests, diseases, phytotoxicity and design of three dimensional attention model;Ma J;Acta Tabacaria Sin,2021
5. Testing a multi‐rotor unmanned aerial vehicle for spray application in high slope terraced vineyard;Sarri D;J Agric Eng,2019