Mungbean UAV Prediction Methodology Dataset

Full description

This dataset comprises phenotypic measurements collected from a diverse mungbean (Vigna radiata) germplasm panel evaluated across three field experiments conducted in Queensland, Australia, during 2022-2023. The experiments were established at two locations: the University of Queensland Gatton Research Farm and the Pacific Seeds Farm in Allora. The dataset encompasses multiple trait categories including high-throughput phenotyping-derived vegetative indices, plant geometric characteristics, and ground-based agronomic measurements. The agronomic measurements specifically include total aboveground biomass, early vigor, and stomatal conductance, providing a comprehensive phenotypic profile of the germplasm. The experimental design facilitated the development of prediction models using a strategic subset of mungbean genotypes, which were subsequently validated across the broader germplasm panel. This approach demonstrates the potential for efficient phenotypic prediction in large-scale mungbean breeding programs. Data collection and curation were conducted by researchers at the University of Queensland (UQ): Miss Shanice Van Haeften, Dr Millicent Smith, and Professor Lee Hickey.