使

Kani Djoulde1,2, Boukar Ousman2, Abboubakar Hamadjam1

  • 1Laboratory of Analysis, Simulations and Tests (LASE), Department of Computer Engineering, University Institute of Technology, The University of Ngaoundéré, Ngaoundéré P.O. Box 455, Cameroon.

Journal of imaging
|February 23, 2024
PubMed
概括

这项研究使用图像处理和机器学习对Penja胡种子进行了分类. 一个支持向量机器模型实现了87%的准确性,使有价值的胡品种的差异化.

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