Wheat crop genotype and age prediction using machine learning with multispectral radiometer sensor data
Mutiullah Jamil,
Zoha Ahsan,
Muhammad Nauman Saeed
et al.
Abstract: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 diverse wheat crop genotypes and providing accurate estimations of plant age. Multispectral reflectance data was obtained from different sites where various wheat genotypes were cultivated. This approach involved analyzing incoming radiation and canopy light reflectance across five disti… Show more
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