Estimation of corn yield using multi-temporal optical and radar satellite data and artificial neural networks.

•A diagnostic and a real-time approaches are proposed to estimate the yield of corn.•Artificial neural networks are combined with multi-temporal optical and radar images.•Best yield estimation performance is obtained with red reflectance before harvest.•Combination of optical and radar signals provides accurate and early yield estimate.