A Comprehensive Study on Plant Classification Using Machine Learning Models
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9489-2_17
Reference44 articles.
1. Bell A, Sejnowski T (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7(6):1129–1159
2. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
3. Fuentes M, Ritter A, Riquelme JC (2018) Plant species classification using support vector machines with leaf morphology descriptors. Comput Electron Agric 154:196–202. https://doi.org/10.1016/j.compag
4. Ahmad F, Lee HJ, Lee S (2018) Plant species classification using decision tree and ensemble learning methods. J Ambient Intell Hum Comput 9(2):337–349. https://doi.org/10.1007/s12652-016-0457-5
5. Liu Y, Ma F, Cao L, Xu R, Liu X (2020) Identification of tea plant cultivars based on near-infrared spectral data using random forest. Food Anal Methods 13(2):390–397
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