Predicting kernel processing score of harvested and processed corn silage via image processing techniques

•Image processing effectively predicted Kernel Processing Score (KPS).•Algorithm and sieving results were well correlated r(23) = 0.8, p < 0.001.•Mechanical sieving reduced particle size, potentially biasing lab results.•KPS assessment efficiency will encourage adjustment of processors during harvest.•Kernel processor adjustment will improve feed quality and increase milk production.