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Field evaluation of a six-rotor unmanned agricultural aerial sprayer: effects of application parameters on spray deposition and control efficacy against rice planthopper.

Huang ZhanChangling WangSupakorn WongsukPeng QiLimin LiuBaiyu QiaoLing ZhongHe Xiongkui
Published in: Pest management science (2023)
This study furnishes invaluable insights and data for controlling rice planthopper via UASS pesticide application, contributing to the progress of modern intensive and sustainable agriculture. This article is protected by copyright. All rights reserved.
Keyphrases
  • climate change
  • risk assessment
  • heavy metals
  • electronic health record
  • machine learning
  • artificial intelligence