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    • Wheat crop genotype and age prediction using machine learning with multispectral radiometer sensor data 

      Jamil, Mutiullah; Ahsan, Zoha; Saeed, Muhammad Nauman; Raza, Ali; Migdady, Hazem; Daoud, Mohammad Sh.; Altalhi, Maryam; Ezugwu, Absalom E.; Abualigah, Laith (John Wiley and Sons Inc, 2024)
      Wheat (Triticum aestivum) yield predictions can be improved by using multispectral remote sensing to identify different genotypes and crop growth stages. We propose an innovative machine learning technique aimed at classifying ...