scholarly journals An automatic segmentation method for scanned images of wheat root systems with dark discolourations

2009 ◽  
Vol 19 (4) ◽  
pp. 679-689 ◽  
Author(s):  
Jarosław Gocławski ◽  
Joanna Sekulska-Nalewajko ◽  
Ewa Gajewska ◽  
Marzena Wielanek
Keyword(s):  
Plant Root ◽  
Automatic Segmentation ◽  
Root Systems ◽  
Wheat Root ◽  
Health State ◽  
Segmentation Method ◽  
Wheat Roots ◽  
Fuzzy C Means Clustering ◽  
Scanned Images ◽  
Plant Root System

An automatic segmentation method for scanned images of wheat root systems with dark discolourationsThe analysis of plant root system images plays an important role in the diagnosis of plant health state, the detection of possible diseases and growth distortions. This paper describes an initial stage of automatic analysis—the segmentation method for scanned images of Ni-treated wheat roots from hydroponic culture. The main roots of a wheat fibrous system are placed separately in the scanner view area on a high chroma background (blue or red). The first stage of the method includes the transformation of a scanned RGB image into the HCI (Hue-Chroma-Intensity) colour space and then local thresholding of the chroma component to extract a binary root image. Possible chromatic discolourations, different from background colour, are added to the roots from blue or red chroma subcomponent images after thresholding. At the second stage, dark discolourations are extracted by local fuzzy c-means clustering of an HCI intensity image within the binary root mask. Fuzzy clustering is applied in local windows around the series of sample points on roots medial axes (skeleton). The performance of the proposed method is compared with hand-labelled segmentation for a series of several root systems.

Alteration of size of wheat root systems and nitrogen fixation by associative nitrogen-fixing bacteria measured under field conditions

1988 ◽  
Vol 34 (6) ◽  
pp. 735-739 ◽  
Author(s):  
R. M. N. Kucey
Keyword(s):  
Plant Root ◽  
N Uptake ◽  
Wheat Plant ◽  
Root Systems ◽  
System Size ◽  
Wheat Root ◽  
Field Conditions ◽  
Total N ◽  
Matter Production ◽  
And Control

Spring wheat was inoculated with Azospirillum brasilense Cd or Bacillus C-11-25 under field conditions. Use of a 32P measuring technique showed that the root systems of Azospirillum-inoculated wheat occupied 54% of the soil volumes compared with uninoculated wheat plant root systems. Bacillus-inoculated wheat root systems were 82% of the size of uninoculated wheat root systems. Inoculated and control plants did not differ in dry matter production or in total N content. Inoculated plants received between 5 and 10% of the N contained in their tissues from associative N2 fixation as measured by 15N isotope dilution. Reduction of root system size in inoculated plants explains how the inoculated wheat plants in this study, and in previously reported studies, are able to absorb atmospheric N2 via associative N2 fixation without increasing total plant N uptake.

scholarly journals Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors

2016 ◽  
Vol 11 (1) ◽  
pp. 447-457 ◽  
Author(s):  
Weixing Su ◽  
Lin Na ◽  
Fang Liu ◽  
Wei Liu ◽  
Muhammad Aqeel Ashraf ◽  
...  
Keyword(s):  
Foraging Behavior ◽  
Plant Root ◽  
Root Systems ◽  
Branching Random Walk ◽  
Root Tip ◽  
Root Foraging ◽  
Proposed Model ◽  
Plant Root System ◽  
Optimality Principles ◽  
Emergent Behaviors

AbstractPlant root foraging exhibits complex behaviors analogous to those of animals, including the adaptability to continuous changes in soil environments. In this work, we adapt the optimality principles in the study of plant root foraging behavior to create one possible bio-inspired optimization framework for solving complex engineering problems. This provides us with novel models of plant root foraging behavior and with new methods for global optimization. This framework is instantiated as a new search paradigm, which combines the root tip growth, branching, random walk, and death. We perform a comprehensive simulation to demonstrate that the proposed model accurately reflects the characteristics of natural plant root systems. In order to be able to climb the noise-filled gradients of nutrients in soil, the foraging behaviors of root systems are social and cooperative, and analogous to animal foraging behaviors.

scholarly journals Opanasenko N. Е. Skeletal soils and fruit cultures. – Kherson, 2014. – 335 p.

2014 ◽  
Vol 15 (3-4) ◽  
pp. 111-117
Author(s):  
A. P. Travleyev ◽  
N. A. Bilova
Keyword(s):  
Water Loss ◽  
Plant Root ◽  
Statistical Treatment ◽  
Root Systems ◽  
Optimal Parameters ◽  
Fine Earth ◽  
Water Intensity ◽  
Garden Plants ◽  
Plant Root System ◽  
Humus Horizons

A number of slices of roots of fruit and nut cultures are thoroughly analysed  in the paper. The architectonic schemes of plant root system along the profile are presented. In the gardens for the each breed of the growing cultures the test indexes of terms  of their optimal growing are given, namely on the dense underlying rocks, in plantaged conditions, in the conditions of buried humus horizons. The power of root systems is examined, depending on the degree of fine earth and humus reserves. The scale of stability growth for the cultural garden plants of Crimea and many other indexes are set: water content in leaves, water intensity of leaves, real water deficit, water loss of leaves, indexes of the productivity, statistical indexes, productivity on the rootstock, hydrothermal coefficients, description of the south black earth,  possible and optimal parameters of the power of the root layer, productivity on black earth, description of the foothill ordinary black earth,  indices of growth and productivity. All data of the grown trees, fruit and fruit and berry cultures pass a statistical treatment with the information about the indexes of the trees’ growth and productivity dependence from the properties of the skeletal soils. At the end of the chapter the theoretical conclusions and the direct recommendations for the practical workers of garden economy are given.

Effectiveness of complex inoculation of spring wheat with N[2] -fi xing bacteria Azospirillum brasilense and mold-antagonist Chaetomium cochliodes

2014 ◽  
Vol 1 (3) ◽  
pp. 57-61
Author(s):  
E. Kopylov
Keyword(s):  
Spring Wheat ◽  
Root Zone ◽  
Wheat Root ◽  
Root Surface ◽  
Atmospheric Nitrogen ◽  
Rhizospheric Soil ◽  
Chain Reaction ◽  
Wheat Roots ◽  
Chlorophyll A And B ◽  
Polymerase Chain

Aim. To study the specifi cities of complex inoculation of spring wheat roots with the bacteria of Azospirillum genus and Chaetomium cochliodes Palliser 3250, and the isolation of bacteria of Azospirillum genus, capable of fi xing atmospheric nitrogen, from the rhizospheric soil, washed-off roots and histoshere. Materials and meth- ods. The phenotypic features of the selected bacteria were identifi ed according to Bergi key. The molecular the polymerase chain reaction and genetic analysis was used for the identifi cation the bacteria. Results. It has been demonstrated that during the introduction into the root system of spring wheat the strain of A. brasilensе 102 actively colonizes rhizospheric soil, root surface and is capable of penetrating into the inner plant tissues. Conclusions. The soil ascomucete of C. cochliodes 3250 promotes better settling down of Azospirillum cells in spring wheat root zone, especially in plant histosphere which induces the increase in the content of chlorophyll a and b in the leaves and yield of the crop.

Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering

2019 ◽  
Vol 8 (4) ◽  
pp. 9548-9551
Keyword(s):  
Image Segmentation ◽  
Medical Image Segmentation ◽  
Experimental Result ◽  
Segmentation Method ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Robust Image ◽  
Multiple Clusters ◽  
Single Pixel ◽  
Popular Image

Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering.

Assessment of automatic segmentation accuracy with various point cloud density

2020 ◽  
Vol 961 (7) ◽  
pp. 47-55
Author(s):  
A.G. Yunusov ◽  
A.J. Jdeed ◽  
N.S. Begliarov ◽  
M.A. Elshewy
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Reference Data ◽  
Automatic Segmentation ◽  
Geometric Accuracy ◽  
Segmentation Method ◽  
Segmentation Methods ◽  
Segmentation Accuracy ◽  
Number Of Segments ◽  
Cloud Density

Laser scanning is considered as one of the most useful and fast technologies for modelling. On the other hand, the size of scan results can vary from hundreds to several million points. As a result, the large volume of the obtained clouds leads to complication at processing the results and increases the time costs. One way to reduce the volume of a point cloud is segmentation, which reduces the amount of data from several million points to a limited number of segments. In this article, we evaluated effect on the performance, the accuracy of various segmentation methods and the geometric accuracy of the obtained models at density changes taking into account the processing time. The results of our experiment were compared with reference data in a form of comparative analysis. As a conclusion, some recommendations for choosing the best segmentation method were proposed.

A 3D-printed, Arabidopsis Thaliana Root Imaging Platform

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Michel Moussus ◽  
Matthias Meier
Keyword(s):  
Molecular Dynamics ◽  
Arabidopsis Thaliana ◽  
High Resolution ◽  
Root System ◽  
Plant Root ◽  
Microfluidic Platforms ◽  
External Cues ◽  
3D Printed ◽  
Plant Root System ◽  
Analytical Tools

High resolution live imaging promises new insights into the cellular and molecular dynamics of the plant root system in response to external cues. Microfluidic platforms are valuable analytical tools that...

Automatic Segmentation Method of Bone Conduction Sound for Eating Activity Detailed Detection

2021 ◽  
Author(s):  
Haruka Kamachi ◽  
Takumi Kondo ◽  
Tahera Hossain ◽  
Anna Yokokubo ◽  
Guillaume Lopez
Keyword(s):  
Automatic Segmentation ◽  
Bone Conduction ◽  
Segmentation Method
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