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Updated: May 28, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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基于不同时期的多源指标的米质量和产量预测

Yufei Hou1,2, Huiyu Bao1,2, Tamanna Islam Rimi1,2

  • 1College of Agriculture, Northeast Agricultural University, Harbin 150030, China.

Plants (Basel, Switzerland)
|February 13, 2025
PubMed
概括

现在可以使用光谱指标和回归模型准确地预测米的质量和产量. 这种方法整合了多个生长阶段,以提高现代农业的精度.

关键词:
增长指数增长指数增长指数生理指数 生理指数优质大米的质量大米.频谱指数 频谱指数 频谱指数蒸汽式回归的回归方法单变线性回归的一个变量.收益率 收益率 收益率 收益率

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