Funder
Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding
Fundamental Research Funds of Chinese Forestry Academy
Publisher
Springer Science and Business Media LLC
Reference79 articles.
1. Awad, M., Khanna, R., Awad, M., & Khanna, R. (2015). Support vector regression. Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers. https://doi.org/10.1007/978-1-4302-5990-9
2. Barzin, R., Kamangir, H., & Bora, G. C. (2021). Comparison of machine learning methods for leaf nitrogen estimation in corn using multispectral UAV images. Transactions of the ASABE, 64, 2089–2101.
3. Blackburn, G. A. (2007). Hyperspectral remote sensing of plant pigments. Journal of Experimental Botany, 58, 855–867.
4. Breiman, L. I., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2015). Classification and regression trees. Encyclopedia of Ecology, 57, 582–588.
5. Broge, N. H., & Leblanc, E. (2001). Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of Environment, 76, 156–172.
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