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校正:优化窗口大小和GLCM纹理特征的方向参数,以根据无人机多光谱图像来估计米AGB

Jikai Liu^1,2, Yongji Zhu¹, Lijuan Song^3,4

¹College of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, China.

Frontiers in plant science

|March 14, 2024

概括

这项研究纠正了先前发表的一篇文章DOI. 请参阅最新信息,以获得准确的引用和访问.

科学领域:

植物科学植物科学
遗传学遗传学是一种遗传学.
分子生物学分子生物学

背景情况:

之前的一份出版物在其数字物体标识符 (DOI) 中存在错误.
这种纠正确保了科学文献的准确引用和检索.

研究的目的:

为了纠正文章的DOI中的错误.
维护科学出版物的完整性和可追溯性.

主要方法:

主要方法涉及识别和纠正错误的DOI.
对正确的DOI进行了验证.

主要成果:

这篇文章的DOI已经更新到10.3389/fpls.2023.1284235.
这种纠正确保了正确的引用和对研究的访问.

结论:

准确的DOI对于科学传播至关重要.
这一更正方便了对植物科学研究的正确引用.

关键词:

在地面上的生物质 (AGB)灰色级别的同时发生矩阵 (GLCM)多光谱图像处理技术米米饭米饭米饭米饭.质地特征 (TFs) 是指质地特征.无人驾驶飞行器 (UAV) 是一种无人驾驶飞行器.

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Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.