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Hassan Rezvan1, Mohammad Javad Valadan Zoej1, Fahimeh Youssefi1,2

  • 1Department of Photogrammetry and Remote Sensing, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究引入了一种自动化方法,用于对米苗进行细分,并使用光谱和纹理特征评估其健康状况. 该方法加强了农业监测,并支持及时干预,以提高作物产量.