{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:55:35Z","timestamp":1783184135285,"version":"3.54.6"},"reference-count":69,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,18]],"date-time":"2021-01-18T00:00:00Z","timestamp":1610928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Innovation and Entrepreneurship Training Program of Sichuan Province","award":["202010626079"],"award-info":[{"award-number":["202010626079"]}]},{"name":"Research Interest Training Program of Sichuan Agricultural University","award":["2020635"],"award-info":[{"award-number":["2020635"]}]},{"DOI":"10.13039\/501100008363","name":"Sichuan Agricultural University","doi-asserted-by":"publisher","award":["X2019076"],"award-info":[{"award-number":["X2019076"]}],"id":[{"id":"10.13039\/501100008363","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Multi-rotor unmanned aerial vehicles (UAVs) for plant protection are widely used in China\u2019s agricultural production. However, spray droplets often drift and distribute nonuniformly, thereby harming its utilization and the environment. A variable spray system is designed, discussed, and verified to solve this problem. The distribution characteristics of droplet deposition under different spray states (flight state, environment state, nozzle state) are obtained through computational fluid dynamics simulation. In the verification experiment, the wind velocity error of most sample points is less than 1 m\/s, and the deposition ratio error is less than 10%, indicating that the simulation is reliable. A simulation data set is used to train support vector regression and back propagation neural network with multiple parameters. An optimal regression model with the root mean square error of 6.5% is selected. The UAV offset and nozzle flow of the variable spray system can be obtained in accordance with the current spray state by multi-sensor fusion and the predicted deposition distribution characteristics. The farmland experiment shows that the deposition volume error between the prediction and experiment is within 30%, thereby proving the effectiveness of the system. This article provides a reference for the improvement of UAV intelligent spray system.<\/jats:p>","DOI":"10.3390\/s21020638","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T03:34:25Z","timestamp":1611113665000},"page":"638","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis"],"prefix":"10.3390","volume":"21","author":[{"given":"Ming","family":"Ni","sequence":"first","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"},{"name":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2669-607X","authenticated-orcid":false,"given":"Hongjie","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xudong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Science, Sichuan Agricultural University, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yilin","family":"Liao","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianqian","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"},{"name":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiong","family":"Mu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"},{"name":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"},{"name":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, China"},{"name":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1709560","DOI":"10.1080\/20964129.2019.1709560","article-title":"Has \u201cGrain for Green\u201d threaten food security on the Loess Plateau of China?","volume":"6","author":"Shi","year":"2020","journal-title":"Ecosyst. 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