Estimating gypsum equirement under no-till based on machine learning technique

HIGHLIGHTS

• who: Palavras-chave Indução de regras. and colleagues from the Departamento Informática, Área Inteligência Computacional, Universidade Estadual, AvGeneral Carlos Cavalcanti , have published the research work: Estimating gypsum equirement under no-till based on machine learning technique, in the Journal: (JOURNAL)
• what: The models showed that Ca saturation in the effective cation exchange capacity (ECEC) was a more important attribute than Al saturation to estimate gypsum requirement in no-till soils.
• how: The results showed that the numerical models generated by rule induction M5'Rules algorithm were positively useful contributing for . . .
  

   

  

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