Application of Machine Learning Method to Quantitatively Evaluate the Droplet Size and Deposition Distribution of the UAV Spray Nozzle

Unmanned Aerial Vehicle (UAV) spray has been used for efficient and adaptive pesticide applications with its low costs. However, droplet drift is the main problem for UAV spray and will induce pesticide waste and safety concerns. Droplet size and deposition distribution are both highly related to dr...

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Bibliografiska uppgifter
Huvudupphovsmän: Han Guo, Jun Zhou, Fei Liu, Yong He, He Huang, Hongyan Wang
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-03-01
Serie:Applied Sciences
Ämnen:
uav spray nozzle
spray characteristics
machine learning
quantitative modeling
Länkar:https://www.mdpi.com/2076-3417/10/5/1759
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