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2020 | 42 | 04 |

Tytuł artykułu

Application of artificial neural network (ANN) and response surface methodology (RSM) for modeling and optimization of the contact angle of rice leaf surfaces

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN

Słowa kluczowe

Wydawca

-

Rocznik

Tom

42

Numer

04

Opis fizyczny

Article 51 [15p.], fig.,ref.

Twórcy

autor
  • College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
  • National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou 510642, China
autor
  • College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
  • National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou 510642, China
autor
  • National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou 510642, China
  • Engineering College, South China Agricultural University, Guangzhou 510642, China
autor
  • College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
  • National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou 510642, China
autor
  • National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou 510642, China
  • Engineering Foundation Teaching and Training Center, South China Agricultural University, Guangzhou 510642, China
autor
  • National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou 510642, China
  • Engineering College, South China Agricultural University, Guangzhou 510642, China

Bibliografia

Typ dokumentu

Bibliografia

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Identyfikator YADDA

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