This work aims to explore the feasibility of predicting and estimating aboveground biomass (AGB) sorghum using multispectral images captured by UAVs, clarify quantitative relationship between vegetation index AGB based on different spatial resolutions, build an estimation model UAV under resolutions. Combining resolution, index, machine learning, a training set is used train model, verification...