Abstract

Understanding the root system architecture of plants as they develop is critical for increasing crop yields through plant phenotyping, and ultra-wideband imaging systems have shown potential as a portable, low-cost solution to non-destructive imaging root system architectures. This paper presents the design, implementation, and analysis of an ultra-wideband imaging system for use in imaging potted plant root system architectures. The proposed system is separated into three main subsystems: a Data Acquisition module, a Data Processing module, and an Image Processing and Analysis module. The Data Acquisition module consists of simulated and experimental implementations of a non-contact synthetic aperture radar system to measure ultra-wideband signal reflections from concealed scattering objects in a pot containing soil. The Data Processing module is responsible for interpreting the measured ultra-wideband signals and producing an image using a delay-and-sum beamforming algorithm. The Image Processing and Analysis module is responsible for improving image quality and measuring root depth and average root diameter in an unsupervised manner. The Image Processing and Analysis module uses a modified top-hat transformation alongside quantization methods based on energy distributions in the image to isolate the surface of the imaged root. Altogether, the proposed subsystems are capable of imaging and measuring concealed taproot system architectures with controlled soil conditions; however, the performance of the system is highly dependent on knowledge of the soil conditions. Smaller roots in difficult imaging conditions require future work into understanding and compensating for unwanted noise. Ultimately, this paper sought to provide insight into improving imaging quality of ultra-wideband (UWB) imaging systems for plant root imaging for other works to be followed.

Highlights

  • Maximizing crop production yield is critical for meeting global crop demands and maintaining global food security [1,2,3,4,5]

  • Selective breeding methods rely on the analysis of the gene-environment interactions which are exhibited through physical characteristics in the plants [7]

  • The compact form and low-cost of ultra-wideband equipment relative to the equipment required for magnetic resonance imaging (MRI), X-Ray computed tomography (CT), and positron emission tomography (PET) makes UWB an attractive option for potential use in root phenotyping

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Summary

Introduction

Maximizing crop production yield is critical for meeting global crop demands and maintaining global food security [1,2,3,4,5]. Due to the root’s role in plant development, plant scientists are interested in being able to non-destructively measure and determine crucial characteristics in the RSA in order to breed optimally productive crops which respond well to various environmental stresses. Characteristics such as primary root length [17] and root diameter [18] determine how much access the plant has to stored water and how well the plant can penetrate harder growing mediums. The compact form and low-cost of ultra-wideband equipment relative to the equipment required for MRI, X-Ray CT, and PET makes UWB an attractive option for potential use in root phenotyping.

Section 2. Section
Methods
Methodology
Physical Parameters
Experimental Data Acquisition Module Methodology
Apparatus
Pot and Root Characteristics
Data Acquisition Module Output Data
Thein additional noise processing to using remove by the apparatus as shown
Delay-and-Sum Beamforming
12. Most path from transceiver to imaging pointpoint for use delay-and-sum
Data Processing Module Output Data
Image Processing and Analysis Module Methodology
Module Methodology
Morphological Transformations
3.3.Results
Physical Parameter Adjustment Results
Electrical Parameter Adjustment Results
Morphological Transformation Parameter Adjustment Results
Image Quantization Parameter Adjustment Results
Experimental Trial Results
26. Unprocessed
Experimental Trial Replication Results
GHz to 12
Discussion and Conclusions
Results onon
Unprocessed
Full Text
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