Research on Tomato Nitrogen Content Nondestructive Testing Method Based on Multidimensional Image Processing Technology

nondestructive testing of tomato nitrogen content

  • Xue Wei Zhang Jiangsu University, Zhenjiang, China
  • Xiao Dong Zhang Jiangsu University, Zhenjiang, China
  • Hanping Mao Jiangsu University, Zhenjiang, China
  • Hong Yan Gao Jiangsu University, Zhenjiang, China
  • Zi Yu Zuo Jiangsu University, Zhenjiang, China
  • Yu Qiang Ruan Jiangsu University, Zhenjiang, China
Keywords: Tomato, Nitrogen, Hyperspectral Image, 3D Morphological, Multi-Feature Fusion

Abstract

This paper is aimed at greenhouse tomato nitrogen detection using hyperspectral imaging combined with three dimensional laser scanning technology. This technology extracts the nitrogen hyperspectral feature image and the plant three dimensional morphological characters, to achieve the rapid quantitative analysis of nitrogen in tomato. The characteristic spectrum of nitrogen was extracted, and the mean intensity characteristic of the image feature was obtained. Then based on the acquisition of the tomato hyperspectral image data cube at different nitrogen levels, the sensitive region stepwise regression combined with correlation analysis was performed. Based on the acquired three dimensional laser scanning data of tomatoes, the stem diameter, the plant height and other biomass characteristics of different nitrogen levels were obtained by establishing the spatial geometric model of tomato three dimensional point cloud. A multi-feature fusion model for tomato nitrogen detection was established by partial least square regression. The results showed that the R2 in the constructed model was 0.94, with the accuracy significantly better than that of the single feature model established by using hyperspectral image and three dimensional laser scanning.

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Author Biographies

Xue Wei Zhang, Jiangsu University, Zhenjiang, China

MSc student, Research interest: engaged in the
research of nutritional information detection in crops.

 

Xiao Dong Zhang, Jiangsu University, Zhenjiang, China

PhD, Professor, Research interest: hyperspectral and
machine vision technology research facility in crop
growth information, detection and applications.
Address: 301 Xuefu Road, Zhenjiang 212013, China.
Tel: +86-511-88797338

Hanping Mao, Jiangsu University, Zhenjiang, China

PhD, Professor, Research interest: Agriculture and
environment automatic control technology,
intelligent agricultural equipment technology,
biological information detection and sensing
technology.

Hong Yan Gao, Jiangsu University, Zhenjiang, China

PhD, Research interest: Environment control of
modern agriculture facility and biological information
detection and sensing technology, and fault
diagnosis technology of agricultural equipment

Zi Yu Zuo, Jiangsu University, Zhenjiang, China

PhD candidate, Research interest: Environment
control of modern facility agriculture and allocation
of water and fertilizer, biological information
detection and sensing technology, intelligent
monitoring and fault diagnosis technology of
agricultural equipment.

Yu Qiang Ruan, Jiangsu University, Zhenjiang, China

MSc student, engaged in the research of nutritional
information detection in crops.

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Published
2018-07-11
How to Cite
Zhang, X., Zhang, X., Mao, H., Gao, H., Zuo, Z., & Ruan, Y. (2018). Research on Tomato Nitrogen Content Nondestructive Testing Method Based on Multidimensional Image Processing Technology. JOURNAL OF ADVANCES IN AGRICULTURE, 8(1), 1374-1383. https://doi.org/10.24297/jaa.v8i1.7469