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相关概念视频

Light Acquisition02:16

Light Acquisition

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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.
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相关实验视频

Updated: Jun 11, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

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基于农业无人机捕获的平面图像的二维超混沌加密和压缩算法.

Lingzhi Zhou1, Han Xia1, Qingfa Lin1

  • 1School of Advanced Manufacturing, Guangdong University of Technology, Jieyang, 515200, China.

Scientific reports
|September 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的2D-HCFOS系统,用于更快,更安全地加密农业无人机图像. 它提高了无人驾驶飞行器 (UAV) 的数据安全和处理效率.

关键词:
农业图像 农业图像富里埃数列是富里埃数列中的一个.图像加密 图像加密非线性合振荡器模型两个维度的超混沌.

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Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
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Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response

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科学领域:

  • 网络安全 网络安全
  • 混沌理论是一个混乱理论.
  • 图像处理 图像处理

背景情况:

  • 由于系统限制,农业无人机面临缓慢的加密速度.
  • 现有的混乱系统与计算复杂性和有限的容量作斗争.
  • 农业数据的安全传输对于现代农业至关重要.

研究的目的:

  • 为农业无人机开发一种高速,安全的图像加密方法.
  • 克服传统混乱加密系统的局限性.
  • 为了提高图像加密的稳定性和伪随机性.

主要方法:

  • 压缩传感与二维超混沌合里埃振荡器系统 (2D-HCFOS) 的集成.
  • 利用先进的里埃序列和非线性合振荡器来提高安全性.
  • 在一个稀疏的测量矩阵中,将波努伊尔函数纳入离散的等号变换 (DCT) 域.

主要成果:

  • 2D-HCFOS系统显著提高了农业无人机图像的加密速度和安全性.
  • 取得了卓越的混乱性能,莱普诺夫指数为15.1039和样本值为2.4987.
  • 与现有的混乱方法相比,证明了增强的伪随机性和稳定性.

结论:

  • 拟议的2D-HCFOS方法为保护农业无人机数据提供了可靠和高效的解决方案.
  • 这种方法可以在个人电脑上进行安全的图像加密,从而增强无人机的操作能力.
  • 该研究通过严格的模拟和分析验证了2D-HCFOS的有效性和优势.