Analyzing Various Maize Varieties Grown Organically: VIT Vellore's Phenotypic, Yield, and Canopy Data

The dataset presented here is an ensemble of various plant and yield traits collected over a season of maize from the VIT University farm, Vellore. The data consists of 15 columns which are classified under four classes namely vegetative traits, yield traits, canopy temperature, and chlorophyll readings of randomly selected and tagged plants. Artificial Intelligence techniques like Machine Learning and Deep Learning can be applied to optimize the yield of the selected genotypes.