Article Versions Notes

Smith C, Karunaratne S, Badenhorst P, Cogan N, Spangenberg G, Smith K. Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data. Remote Sensing. 2020; 12(6):928. https://doi.org/10.3390/rs12060928

Smith, Chaya, Senani Karunaratne, Pieter Badenhorst, Noel Cogan, German Spangenberg, and Kevin Smith. 2020. "Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data" Remote Sensing 12, no. 6: 928. https://doi.org/10.3390/rs12060928

Smith, C., Karunaratne, S., Badenhorst, P., Cogan, N., Spangenberg, G., & Smith, K. (2020). Machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data. Remote Sensing, 12(6), 928. https://doi.org/10.3390/rs12060928