scholarly journals Application of Computer Image Analysis for Measurement of Barley Vegetation

2021 ◽  
Vol 25 (3) ◽  
pp. 73-78
Author(s):  
Mariusz Rząsa ◽  
Mateusz Wiecha ◽  
Ewelina Szczuka ◽  
Anna Radaczyńska
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Precision Farming ◽  
Plant Production ◽  
Computer Image Analysis ◽  
Geological Conditions ◽  
Mapping Process ◽  
Computer Based

Progress in agriculture comes down to lowering the costs of plant production. One solution is precision farming, which saves on fertilisation, spraying and irrigation. Precision farming is mainly based on methods for measurement of coefficient of vegetation and geological conditions. For this purpose, aerial technology is used and nowadays drones are very often utilized to fields mapping. For this purpose, aerial technology is used and nowadays drones are very often used to mapping fields. On this basis, areas that require agricultural treatment are identified. The use of computer techniques improves the mapping process and the determination of vegetation coefficients. This paper presents a computer-based method for mapping of agricultural surface combined with image analysis and calculation of vegetation coefficients.

scholarly journals Determination of adipocyte size by computer image analysis

2002 ◽  
Vol 43 (6) ◽  
pp. 986-989 ◽  
Author(s):  
Hubert C. Chen ◽  
Robert V. Farese
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Adipocyte Size ◽  
Computer Image Analysis

Recent developments in automated Transmission Electron MI

1989 ◽  
Vol 47 ◽  
pp. 46-47
Author(s):  
W.J. de Ruijter ◽  
P. Rez ◽  
David J. Smith
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Lens Design ◽  
Computer Image Analysis ◽  
Transmission Electron ◽  
Resolution Electron ◽  
Recent Developments ◽  
On Line ◽  
Routine Procedures ◽  
Near Future

There is growing interest in the on-line use of computers in high-resolution electron n which should reduce the demands on highly skilled operators and thereby extend the r of the technique. An on-line computer could obviously perform routine procedures hand, or else facilitate automation of various restoration, reconstruction and enhan These techniques are slow and cumbersome at present because of the need for cai micrographs and off-line processing. In low resolution microscopy (most biologic; primary incentive for automation and computer image analysis is to create a instrument, with standard programmed procedures. In HREM (materials researc computer image analysis should lead to better utilization of the microscope. Instru (improved lens design and higher accelerating voltages) have improved the interpretab the level of atomic dimensions (approximately 1.6 Å) and instrumental resolutior should become feasible in the near future.

Computer image analysis of intramuscular adipocytes and marbling in the longissimus muscle of cattle1

2006 ◽  
Vol 84 (12) ◽  
pp. 3251-3258 ◽  
Author(s):  
X. J. Yang ◽  
E. Albrecht ◽  
K. Ender ◽  
R. Q. Zhao ◽  
J. Wegner
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Longissimus Muscle ◽  
Computer Image Analysis

scholarly journals Computer Image Analysis for Marbling Change within Longissimus Muscle with Cut Section of Japanese Black Steers

2007 ◽  
Vol 78 (4) ◽  
pp. 441-446 ◽  
Author(s):  
Yoshinobu NAKAHASHI ◽  
Shin MARUYAMA ◽  
Shinji SEKI ◽  
Satoshi HIDAKA ◽  
Keigo KUCHIDA
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Longissimus Muscle ◽  
Computer Image Analysis

Identification of physical parameters of cereal grain using computer image analysis and neural models

2013 ◽  
Author(s):  
Krzysztof Nowakowski ◽  
Barbara Raba ◽  
Robert J. Tomczak ◽  
Piotr Boniecki ◽  
Sebastian Kujawa ◽  
...  
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Physical Parameters ◽  
Neural Models ◽  
Computer Image Analysis ◽  
Cereal Grain

Objective assessment of lamb conformation: reliability of body measurements determined by computer image analysis

1996 ◽  
Vol 1996 ◽  
pp. 106-106
Author(s):  
S. Al-Shami ◽  
I. Ap Dewi
Keyword(s):  
Image Analysis ◽  
Body Length ◽  
Computer Image ◽  
Objective Assessment ◽  
Repeated Measurements ◽  
Horizontal Distance ◽  
Body Measurements ◽  
Computer Image Analysis ◽  
Reliability Estimates

A method to determine body measurements by computer image analysis of lamb photographs was described by Komlosi (1994). It was suggested that the technique could be used to predict conformation of live sheep, particularly candidate breeding rams. This study was conducted to evaluate the reliability of lamb body measurements derived using this technique.Thirty lambs (Border Leicester (4), Texel (16), Suffolk (10)) were used. Reliability estimates were obtained from repeated (5 replications) photographs of the same animals and from repeated measurements (4 replications) of individual photographs. Eight lamb body measurements were used in this study namely, body length (BL), height at withers (HW), height at hip (HHP), hind-quarter horizontal distance (HQH), hind-quarter diagonal distance (HQD), hind quarter area (HQA), side area (SA) and rump diagonal (RUD). These measurements are as described by Komlosi (1994).

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