1. ASABE, 2021. Moisture measurement - forages. (ANSI/ASAE S358.3 May2012 (R2021)). ASABE, St. Joseph, Mich. Retrieved from https://elibrary.asabe.org/standards.asp.
2. Blanch-Perez-Del-Notario, C., Saeys, W., Lambrechts, A., n.d. Convolutional neural networks for heterogeneous ingredient discrimination with hyperspectral imaging.
3. Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks;Dreier;J. Near Infrared Spectrosc.,2022
4. Predicting kernel processing score of harvested and processed corn silage via image processing techniques;Drewry;Comput. Electron. Agric.,2019
5. Baseline correction with asymmetric least squares smoothing;Eilers;Leiden Univ. Med. Centre Rep.,2005