scholarly journals Rice seeds vigor through image processing of seedlings

2019 ◽  
Vol 49 (8) ◽  
Author(s):  
André Pich Brunes ◽  
Ádamo de Souza Araújo ◽  
Letícia Winke Dias ◽  
Júlio Antoniolli ◽  
Gizele Ingrid Gadotti ◽  
...  
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Rice Seedling ◽  
Seed Vigor ◽  
Shoot Length ◽  
Root And Shoot Length ◽  
Rice Seeds ◽  
Length And Area ◽  
Potential Use

ABSTRACT: The aim of this paper was to verify the viability of digital image processing in the measurement of rice seedling and its potential use as seed vigor test. The experiment took place at the Laboratório Didático de Análise de Sementes, located in Capão do Leão (RS), using seeds of eight rice cultivars: Irga 424, Puitá Inta CL, BRS Esmeralda, SCS 116, Guri Inta CL, BRS Pampa, BRSGO Serra Dourada and Olimar. An image processing system (IPS) was used to measure length and area of shoot and root as an index of seed vigor in rice seeds. The experiment design was completely randomized with five replications. The evaluated variables were root and shoot length in graded ruler and by image, root and shoot area, and field emergence. Results obtained with the IPS were correlated with other quality tests though the Pearson tests. Determination of shoot length and leaf area of the seedlings obtained through IPS is effective for assessing the vigor of rice seeds.

scholarly journals Computer Based Tools to Locate and Measure the Disease Infected Area of Rice Leaves

2014 ◽  
Vol 18 (2) ◽  
pp. 209-213
Author(s):  
MM Billah ◽  
MM Bhuiyan ◽  
MA Ashraf
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Image Processing System ◽  
Infected Area ◽  
Decision Making Processes ◽  
Computer Based ◽  
Rice Leaves ◽  
Image Pixels ◽  
Human Operators

Computer based image processing system has been developed to automatically calculate the damaged area and also to identify the location of disease infected area of rice leaves. The developed image processing system separates the infected regions on leaf by pixel-wise processing. The color intensities associated with image pixels are used as inputs, which are taken by the software and produce the desired output. Experimental results show that the proposed system can produce accurate results in every case whereas conventional eye-estimation technique is not accurate. The amount of damaged area, as identified by proposed software system, can potentially be used in many decision making processes, like determination of the amount of pesticides need to be sprayed in a field. Moreover, an automated machine can be combined with this software to eliminate the requirement of human operators. Also this system may eliminate the requirement of costly Leaf Area Meter.DOI: http://dx.doi.org/10.3329/pa.v18i2.18210 Progress. Agric. 18(2): 209 - 213, 2007 

Using image processing for determination of settled sludge volume

2018 ◽  
Vol 78 (2) ◽  
pp. 390-401 ◽  
Author(s):  
Darragh Mullins ◽  
Derek Coburn ◽  
Louise Hannon ◽  
Edward Jones ◽  
Eoghan Clifford ◽  
...  
Keyword(s):  
Image Processing ◽  
Performance Monitoring ◽  
Wastewater Treatment Plants ◽  
Processing System ◽  
Measurement Procedure ◽  
International Standards ◽  
Volume Index ◽  
Small Scale ◽  
Manual Measurement

Abstract Determination of the sludge volume index is key to describing the settling characteristics of sludge in the aeration process of wastewater treatment plants (WWTPs). The two core components of this calculation are the settled sludge volume (SSV) and suspended solids. While the measurement procedure for SSV is generally defined by national or international standards, in practice a wide variety of vessel sizes and shapes are used by operators to monitor WWTP performance. Furthermore, differences in how these tests are carried out can lead to poor data, inefficient WWTP operation and a lack of comparable metrics for WWTP operational monitoring. Thus, there is a requirement to improve operational performance of WWTPs to meet the increasingly stringent legislation regarding discharge limits. The aim of this study was to utilise a novel image-processing system (AutoSSV) to (i) determine its efficacy in describing SSV and (ii) measure and compare different methodologies for measurement of SSV. The AutoSSV system was tested using samples from various WWTPs and the results compared to those determined by standard manual measurement. Both standard and modified settlement tests were conducted on 30 mixed liquor samples, with modified settlement tests consistently resulting in lower SSV measurements. Results from the study showed a strong correlation between the SSV measurements provided by the AutoSSV system and results obtained from current manual measurement methods. The proposed technique would help to standardise the measurement in practice and increase the frequency of monitoring, particularly in small-scale rural WWTPs where there may not be permanent operators on site, and thus provide sufficient performance monitoring for efficient and effective operation.

scholarly journals Growth promotion of rice seedlings by fungal and bacterial bioagents effective against bacterial leaf blight of rice

2013 ◽  
Vol 5 (2) ◽  
pp. 430-434 ◽  
Author(s):  
Gokil Prasad Gangwar
Keyword(s):  
Chemical Treatment ◽  
Field Isolate ◽  
Leaf Blight ◽  
Shoot Length ◽  
Bacterial Leaf Blight ◽  
Root Weight ◽  
Maximum Increase ◽  
Trichoderma Species ◽  
Root And Shoot Length ◽  
Rice Seeds

In the present investigation, fungal and bacterial bioagents which were effective against pathogen of bacterial leaf blight disease of rice (Xanthomonas oryzae pv. oryzae) was tested for their effect on germination of rice seeds and growth of nursery seedlings under laboratory and glasshouse conditions. Two isolates of fluorescent pseudomonas isolated from rice phylloplane (Pf 83 and FLP 88), Trichoderma species were isolated from soil of rice field (isolate 40) and Trichoderma harzianum isolated from rice phylloplane. Two commercial formulations (PBA-1 and PBA-2) were tested in the present investigation and compared with chemical treatment (0.76 g Emison + 0.18 g Streptocycline / kg seeds) and untreated check. Under laboratory conditions, chemical treatment was found most effective in increasing seed germination (43.90%) followed by Pf 83 and PBA-1 (34.15 %). Bioagent formulations were significantly effective in increase in root and shoot length as compared to check and chemical treatment. Under glasshouse conditions, maximum increase (29.42%) in seedlings emergence was exhibited by chemical treatment. Maximum increase in root length (100.15%) and shoot length (50.06%) was recorded with FLP 88 and T. harzianum, respectively. Bioagent formulations also increased fresh and dry root weight over check and chemical treatment. All bioagents formulations were effective over chemical treatment and check in increasing fresh shoot weight. Results of the present study revealed that in the absence of pathogen of bacterial leaf blight of rice, fungal and bacterial bioagents significantly enhanced germination of rice seeds and growth of nursery seedlings.

Lispix: A Public Domain Scientific Image Analysis Program for the PC and Macintosh*

2000 ◽  
Vol 6 (S2) ◽  
pp. 1022-1023
Author(s):  
D. S. Bright ◽  
K. G. Milans
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Public Domain ◽  
Analysis Program ◽  
X Ray ◽  
Data Cubes ◽  
Scientific Image ◽  
Particle Measurement ◽  
Ieee Standard

MacLispix, a public domain image processing system for the Macintosh, has been applied to a variety of image processing problems such as analysis of diffraction spots, uniform display of x-ray maps, determination of fractal dimension of particle outlines, and analysis of data cubes. Due to interest from the PC community, we have ported the software to Windows, renamed it Lispix', and distributed it for both platforms, along with example images, source and documentation.Lispix reads TIFF files and raw files (no image header), both with pixel types of signed and unsigned 8, 16 and 32 bit integers, 4 and 8 byte IEEE standard floating point numbers, and 3x8 bit RGB color. Lispix has a variety of standard image processing operations, such as thresholding, edge finding (gradient), filtering, scaling, Linear Hough Transform, false coloring, RGB color overlays and particle measurement.

scholarly journals Regional Quantitative Determination of Brain Glucose in Tissue Sections: A Bioluminescent Approach

1985 ◽  
Vol 5 (3) ◽  
pp. 465-468 ◽  
Author(s):  
W. Paschen ◽  
G. Mies ◽  
O. Kloiber ◽  
K.-A. Hossmann
Keyword(s):  
Image Processing ◽  
Quantitative Determination ◽  
Regional Distribution ◽  
Processing System ◽  
Regression Coefficients ◽  
Glucose Content ◽  
Tissue Samples ◽  
Brain Glucose ◽  
Tissue Sections

A bioluminescent technique is described for the regional quantitative determination of brain glucose. A close linear interrelationship was obtained between the optical density of the bioluminescent images and the glucose content in tissue samples. The regression coefficients of this correlation permit the quantification of glucose bioluminescent pictures using an image-processing system. Regional distribution of glucose was correlated to regional tissue pH under both physiological and pathophysiological conditions.

scholarly journals Determination of Droplet Size Distributions using Image Processing System

1995 ◽  
Vol 30 (12) ◽  
pp. 854-862
Author(s):  
Hideaki Sugita ◽  
Takeshi Nakazawa ◽  
Shozo Fukuhara ◽  
Hiromi Komuta
Keyword(s):  
Image Processing ◽  
Droplet Size ◽  
Processing System ◽  
Size Distributions ◽  
Image Processing System ◽  
Droplet Size Distributions

scholarly journals Physiological response of cotton seeds treated with thiamethoxam under heat stress

2016 ◽  
Vol 38 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Luciana Regina Lauxen ◽  
Andréia da Silva Almeida ◽  
Cristiane Deuner ◽  
Géri Eduardo Meneghello ◽  
Francisco Amaral Villela
Keyword(s):  
Low Temperature ◽  
Chlorophyll Content ◽  
Water Availability ◽  
Seed Treatment ◽  
Shoot Length ◽  
Root And Shoot Length ◽  
Cotton Plants ◽  
Emergence Percentage ◽  
Cotton Seeds

Abstract: This study aimed to verify the effect of seeds treated with thiamethoxam on the emergence, growth and chlorophyll content of seedlings of two cotton cultivars subjected to abiotic stress. The seeds used were from the DeltaOpal and NuOpal cultivars, each one represented by three lots, previously subjected to determination of moisture content, germination and vigor (low temperature germination). Then, the seeds from each lot, treated with thiamethoxam at a dose of 600 mL of product per 100 kg-1 seed or not, were exposed to temperature (18, 25 and 35 °C) and water availability (40, 60 and 80%) stress conditions. The emergence percentage, the root and shoot length, and the chlorophyll content were evaluated. The growth of cotton seedlings from the DeltaOpal and NuOpal cultivars, subjected to low temperature conditions and water availability of 40 to 60%, is favored by seed treatment with thiamethoxam. Seed treatment with thiamethoxam increases chlorophyll content during the development of cotton plants.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

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