Dataset for: Data for precision agriculture using multispectral images and traits at field level to estimate biomass and yields in wheat crops sowed in the Molina station (INIA - Lima).

It was a wheat trial conducted in the Molina station (INIA - Lima). Five nitrogen treatments and six replications were applied to sweep a wide range of biomass and yield values. The aim of this work was to use Machine Learning algorithms and multispectral images acquired from unnamed aerial vehicles to estimate yield and biomass of wheat crops.

本数据集基于智利国家农牧研究所（Instituto Nacional de Investigación Agropecuaria，简称INIA）利马分部莫利纳试验站开展的小麦田间试验构建。试验设置5种氮肥处理方案，辅以6次生物学重复，以覆盖生物量与产量的广泛取值区间。本研究旨在利用机器学习算法与无人机（Unmanned Aerial Vehicle, UAV）获取的多光谱影像，估算小麦作物的产量与生物量。