Estimating soybean yield using time series of anomalies in vegetation indices from MODIS

An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to its spatiotemporal coverage, for developing empirical models to predict and evaluate crop yields at regional and national scales.Sociedad Argentina de Informática e Investigación Operativ