番茄辣椒微型根系形态原位采集系统设计与实现

鲁伟1 汪小旵1,2 王凤杰1

(1.南京农业大学工学院, 南京 210031)
(2.江苏省现代设施农业技术与装备工程实验室, 南京 210031)

【摘要】为实时获取浅根系作物的根系生长形态, 设计了一种可用于多点测量的微型根系形态实时原位采集系统。系统主要由微型摄像头和光学放大元件等组成 (体积1.5 cm3) , 采集的图像通过无线模块发送至终端。采用基于区域生长的根系图像分析方法, 以腐蚀图像为出发点, 膨胀图像为终止点, 结合相似性准则进行区域生长、区域标记和区域保留, 来滤除土壤孔隙和杂质等对图像产生的干扰, 从而提取根系轮廓, 并通过图像形态学计算得到根长密度、根系平均直径等形态参数。以此系统采集樱桃番茄、辣椒根系形态参数, 试验结果表明, 根系长度测定值的绝对误差不超过1.5 mm, 相对误差不超过5.3%;根系平均直径绝对误差不超过0.09 mm, 相对误差不超过6.7%。与土壤采样法测定值相比, 在010、>1020、>2030和>3040 cm 4个土壤层内2种测定方法根系平均直径决定系数R2>0.87 (P<0.01) , 根长密度在30 cm深度以内的土壤层决定系数R2>0.81 (P<0.01) 。证明本文设计的微型根系形态实时原位采集系统具有较高的准确性, 可用于浅根系作物形态的多点观测。

【关键词】 形态; 算法; 测量; 根系形态; 微型根系形态采集系统; 多点采集; 实时获取; 区域生长算法;

【DOI】

【基金资助】 国家重点研发计划项目 (2016YFD0200602-4) 江苏省农业科技自主创新资金项目 (CX (16) 1002)

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This Article

ISSN:1002-6819

CN: 11-2047/S

Vol 34, No. 22, Pages 12-18

November 2018

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Article Outline

摘要

  • 0 引言
  • 1 微型根系形态采集系统设计与工作原理
  • 2 根系图像处理与形态计算
  • 3 试验与分析
  • 4 结论与讨论
  • 参考文献