Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11119-022-09920-4.pdf
Reference59 articles.
1. Asaari, M., Mishra, P., Mertens, S., Dhondt, S., Inzé, D., Wuyts, N., & Scheunders, P. (2018). Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform. ISPRS Journal of Photogrammetry and Remote Sensing, 138, 121–138. https://doi.org/10.1016/j.isprsjprs.2018.02.003
2. Axelsson, C., Skidmore, A., Schlerf, M., Fauzi, A., & Verhoef, W. (2013). Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression. International Journal of Remote Sensing, 34(5), 1724–1743. https://doi.org/10.1080/01431161.2012.725958
3. Babu, Y. M. M., Subramanyam, M. V., & Prasad, M. G. (2012). PCA based image denoising. Signal & Image Processing, 3(2), 236.
4. Ball, K. R., Power, S. A., Brien, C., Woodin, S., Jewell, N., Berger, B., & Pendall, E. (2020). High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass–legume mixture. PLoS ONE, 15(10), e0239673.
5. Ball, K. R., Woodin, S. J., Power, S. A., Brien, C. B., B.; , Smith, P., & Pendall, E. (2021). Integrating ecological stoichiometry to understand nutrient limitation and potential for competition in mixed pasture assemblages. Soil Science and Plant Nutrition.
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