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Combination of UAV and Raspberry Pi 4B: Airspace detection of red imported fire ant nests using an improved YOLOv4 model.
Liu, Xiaotang; Xing, Zheng; Liu, Huanai; Peng, Hongxing; Xu, Huiming; Yuan, Jingqi; Gou, Zhiyu.
Affiliation
  • Liu X; College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China.
  • Xing Z; College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China.
  • Liu H; College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China.
  • Peng H; School of Chemistry and Chemical Engineering, South China Technology of University, Guangzhou 510641, China.
  • Xu H; College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China.
  • Yuan J; Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture and Rural Affairs, Guangzhou 510642, China.
  • Gou Z; Guangzhou Key Laboratory of Intelligent Agriculture, Guangzhou 510642, China.
Math Biosci Eng ; 19(12): 13582-13606, 2022 09 15.
Article in En | MEDLINE | ID: mdl-36654059
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Full text: 1 Database: MEDLINE Main subject: Ants Type of study: Diagnostic_studies / Qualitative_research Limits: Animals Language: En Year: 2022 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Ants Type of study: Diagnostic_studies / Qualitative_research Limits: Animals Language: En Year: 2022 Type: Article