1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D.G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., Zheng, X., 2019. TensorFlow: large-scale machine learning on heterogeneous systems. Software available from https://www.tensorflow.org/.
2. Retrieval of forest leaf functional traits from HySpex imagery using radiative transfer models and continuous wavelet analysis;Ali;ISPRS-J. Photogramm. Remote Sens.,2016
3. Effects of land-use change on soil inorganic carbon: A meta-analysis;An;Geoderma,2019
4. Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques;Araújo;Eur. J. Soil Sci.,2014
5. Agricultural Chemistry Analysis;Bao,2005