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使用智能手机进行图像分析:在不同营养治疗下,叶子颜色和生菜新鲜重量之间的关系

Hye Su Won¹, Eunji Lee¹, Seeun Lee²

¹Department of Horticulture, Kongju National University, Yesan, Republic of Korea.

Frontiers in plant science

|May 20, 2025

概括

智能手机的叶子颜色分析准确地预测了生菜的新鲜重量和产量. 这种低成本的方法有助于农民以非破坏性的方式监测作物健康和营养状况.

科学领域:

农业科学农业科学
园艺园艺园艺园艺
图像分析图像分析

背景情况:

评估作物健康和产量对于农业生产率至关重要.
智能手机为农作物监测提供了一个可访问,低成本的替代昂贵的成像设备.

研究的目的:

评估基于智能手机的RGB图像,用于预测绿色和红色菜的新鲜重量.
为了确定用RGB值测量的叶子颜色是否与不同肥料处理下的生菜新鲜重量相关.

主要方法:

利用两款智能手机 (三星Galaxy,果iPhone) 的RGB图像来捕捉生菜叶的颜色.
分析了叶子颜色强度和深绿比例,使用来自两个设备的平均RGB数据.
在不同的肥料应用中,与新鲜生菜重量相关的色彩指标.

主要成果:

叶子颜色强度和深绿比例与新鲜生菜重量有显著的关联 (p < 0.014).
智能手机RGB数据显示了设备之间的类似纵向模式,尽管绝对不同.
两款智能手机的平均RGB数据为分析提供了可靠的指标.

结论:

智能手机RGB成像是一种可行的,非破坏性的方法,用于预测生菜的新鲜重量和产量.
农民和从业人员可以利用负担得起的智能手机来监测作物营养状况并优化农业实践.
这种方法提供了诊断作物健康状况和预测产量潜力的经济工具.

关键词:

布兰德-阿尔特曼分析在 RGB RGB RGB 里面.暗绿色的比例是深绿色的比例.绿色和红色的生菜.正常化的强度强度.

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