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一种集体深度学习模型方法,使用图像分析来对棉花作物进行分类,在支持人工智能的智能农业中

Muhammad Farrukh Shahid1, Tariq J S Khanzada2,3, Muhammad Ahtisham Aslam4

  • 1FAST School of Computing, National University of Computer & Emerging Sciences, Karachi, 75030, Pakistan. mfarrukh.shahid@nu.edu.pk.

Plant methods
|July 14, 2024
PubMed
概括

使用深度学习 (DL) 和计算机视觉 (CV) 早期检测棉花植物疾病可以显著改善作物产量和经济结果. 连续波形转换 (CWT) 功能增强了DL模型的性能,用于疾病识别.

关键词:
农业 农业 农业 农业人工智能的人工智能是人工智能.在CWT中使用.棉花作物 棉花作物农作物监测; 棉花植物深度集体学习是深度集体学习.深度学习是一种深度学习.金融金融公司 (FFT)转移学习转移学习

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