Data-driven artificial intelligence (ai) algorithms for modelling potential maize yield under maize-legume farming systems in east africa

HIGHLIGHTS

  • who: Komi Mensah Agboka and collaborators from the School of Agricultural, Earth, and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa have published the research work: Data-Driven Artificial Intelligence (AI) Algorithms for Modelling Potential Maize Yield under Maize-Legume Farming Systems in East Africa, in the Journal: Agronomy 2022, 12, x FOR PEER REVIEW of 19/09/2022
  • what: This study compares the performance of two uncomplex and interpretable models namely the hybrid fuzzy-logic combined with the genetic algorithm and symbolic regression to predict maize yield. The model that best explained the . . .

     

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