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Journal articles on the topic 'RGB (Red'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Vandrol, Jan, Janis Perren, and Adrian Koller. "Effect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection." Sensors 25, no. 1 (2024): 161. https://doi.org/10.3390/s25010161.

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Automated agricultural robots are becoming more common with the decreased cost of sensor devices and increased computational capabilities of single-board computers. Weeding is one of the mundane and repetitive tasks that robots could be used to perform. The detection of weeds in crops is now common, and commercial solutions are entering the market rapidly. However, less work is carried out on combatting weeds in pastures. Weeds decrease the grazing yield of pastures and spread over time. Mowing the remaining weeds after grazing is not guaranteed to remove entrenched weeds. Periodic but selecti

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Hawley, Dave, Thomas Graham, Michael Stasiak, and Mike Dixon. "Improving Cannabis Bud Quality and Yield with Subcanopy Lighting." HortScience 53, no. 11 (2018): 1593–99. http://dx.doi.org/10.21273/hortsci13173-18.

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The influence of light spectral quality on cannabis (Cannabis sativa L.) development is not well defined. It stands to reason that tailoring light quality to the specific needs of cannabis may increase bud quality, consistency, and yield. In this study, C. sativa L. ‘WP:Med (Wappa)’ plants were grown with either no supplemental subcanopy lighting (SCL) (control), or with red/blue (“Red-Blue”) or red-green-blue (“RGB”) supplemental SCL. Both Red-Blue and RGB SCL significantly increased yield and concentration of total Δ9-tetrahydrocannabinol (Δ9-THC) in bud tissue from the lower plant canopy. I

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Ji, Xin, Cheng-Yuan Li, and Li-Cai Deng. "Evaluating Helium Variations By Modeling Red Giant Branch Bump of Large Magellanic Cluster NGC 1978." Research in Astronomy and Astrophysics 22, no. 3 (2022): 035008. http://dx.doi.org/10.1088/1674-4527/ac46a3.

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Abstract Many evidences show that the Multiple Population (MP) features exist not only in old clusters but also in intermediate-age clusters in the Megallanic Clouds (MCs), which are characterized by star-to-star abundance scatter of several elements, including helium (He). The red giant branch bump (RGBB)'s photometric properties are proved to be related to the variation in helium abundances of the member stars in star clusters. We use the “Modules for Experiments in Stellar Astrophysics” (MESA) stellar evolution code to calculate the evolution sequences of stars along the red giant branch (R

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Piratelo, Paulo Henrique Martinez, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, et al. "Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data." Machines 10, no. 1 (2021): 28. http://dx.doi.org/10.3390/machines10010028.

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Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse management applications to tackle this problem. This study uses synthetic and real images applied to CNNs to deal with classification of inventory items. The results are compared to seek the neural networks that better suit this application. The methodology consists of fine-tuning several CNNs on Red–Green–Blue (RBG) and Red–Green–Blue-Depth (RGB-D) sy

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Kim, Yang Suk, Ha Yun Kim, Hee Soon Cheon, Sung Jin Cho, and Bumsik Kim. "Quality Characteristics of Nutriton Bar Added with Ginseng Powder1)." Table and Food Coordinate Society of Korea 17, no. 3 (2022): 95–107. http://dx.doi.org/10.26433/tfck.2022.17.3.95.

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This study was planed to develop a functional nutritional bar product tailored to the recent trend toward consumer health and convenience. We analyzed the sensory characteristics and consumer preferences of nutritional bars containing ginseng, and studied the quality characteristics of the final product. There were thre types of nutrition bars containing ginseng: RGA(aded by 10% of red ginseng powder), RGB(5% of red ginseng powder), and WG(5% of ginseng and soybean powder). Quality characteristics include color, pH and swetnes. Sensory tests were conducted on 23 people who had experience in co

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Li, Yali, Ping Huang, Xia Qiu, et al. "Integration of Green and Far-Red Light with Red-Blue Light Enhances Shoot Multiplication in Micropropagated Strawberry." Horticulturae 11, no. 6 (2025): 701. https://doi.org/10.3390/horticulturae11060701.

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Light spectral composition critically regulates plant morphogenesis and molecular adaptation in controlled environments. This study investigated the synergistic effects of three light spectra, red-blue (RB, 7:3), red-blue-green (RGB, 7:3:1), and red-blue-far-red (RBFR, 7:3:1), on multiplication, morphogenesis, physiological traits, and transcriptomic dynamics in tissue-cultured strawberry (Fragaria × ananassa cv. ‘Benihoppe’). After 28 days of cultivation under controlled conditions (25 °C/22 °C day/night, 50 μmol·m−2·s−1 PPFD), RBFR and RGB treatments significantly enhanced shoot multiplicati

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Ashapure, Akash, Jinha Jung, Anjin Chang, Sungchan Oh, Murilo Maeda, and Juan Landivar. "A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data." Remote Sensing 11, no. 23 (2019): 2757. http://dx.doi.org/10.3390/rs11232757.

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This study presents a comparative study of multispectral and RGB (red, green, and blue) sensor-based cotton canopy cover modelling using multi-temporal unmanned aircraft systems (UAS) imagery. Additionally, a canopy cover model using an RGB sensor is proposed that combines an RGB-based vegetation index with morphological closing. The field experiment was established in 2017 and 2018, where the whole study area was divided into approximately 1 x 1 m size grids. Grid-wise percentage canopy cover was computed using both RGB and multispectral sensors over multiple flights during the growing season

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Li 李, Yaguang 亚光. "Evidence that Mass Loss on the Red Giant Branch Decreases with Metallicity." Astrophysical Journal 988, no. 2 (2025): 179. https://doi.org/10.3847/1538-4357/ade3c7.

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Abstract Mass loss on the red giant branch (RGB) influences stellar evolution, properties of stellar populations, and Galactic chemical enrichment, yet remains poorly constrained observationally. Current models provide limited insight into how stellar properties, particularly how metallicity and mass, affect RGB mass loss. Here, I introduce a new observational approach that uses the age–velocity-dispersion relation and the lower-mass boundary of red giants as precise evolutionary markers. These markers, informed by Galactic evolution, allow us to construct observational isochrones for field st

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Tailo, M., A. P. Milone, E. P. Lagioia, et al. "Mass-loss law for red giant stars in simple population globular clusters." Monthly Notices of the Royal Astronomical Society 503, no. 1 (2021): 694–703. http://dx.doi.org/10.1093/mnras/stab568.

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ABSTRACT The amount of mass lost by stars during the red-giant branch (RGB) phase is one of the main parameters to understand and correctly model the late stages of stellar evolution. Nevertheless, a fully comprehensive knowledge of the RGB mass-loss is still missing. Galactic Globular Clusters (GCs) are ideal targets to derive empirical formulations of mass-loss, but the presence of multiple populations with different chemical compositions has been a major challenge to constrain stellar masses and RGB mass-losses. Recent work has disentangled the distinct stellar populations along the RGB and

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Leščinskaitė, Alina, Rima Stonkutė, and Vladas Vansevičius. "AGB and RGB stars in the dwarf irregular galaxy Leo A." Astronomy & Astrophysics 647 (March 2021): A170. http://dx.doi.org/10.1051/0004-6361/202037967.

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Context. Leo A is a gas-rich dwarf irregular galaxy of low stellar mass located in the outskirts of the Local Group. It has an extended star formation history with stellar populations spanning a wide age range (∼0.01−10 Gyr). As Leo A is a well-isolated dwarf galaxy, it is a perfect target to study a galactic structure formed entirely by processes of self-induced star formation. Aims. Our aim is to study populations of the brightest asymptotic giant branch (AGB) stars and red giant branch (RGB) stars over the entire extent of the Leo A galaxy. Methods. We analysed populations of AGB and RGB st

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Oh, Hyeon Eui, Ara Yoon, and Yoo Gyeong Park. "Red Light Enhances the Antioxidant Properties and Growth of Rubus hongnoensis." Plants 10, no. 12 (2021): 2589. http://dx.doi.org/10.3390/plants10122589.

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The purpose of this study was to determine the effect of light quality on R.hongnoensis growth, physiology, and antioxidant properties. Five light conditions were employed, including white (control), red (R), blue (B), combined LED of R, green (G), and B at 7:1:2 (RGB), as well as combined LED of R, G, B, and far-red (Fr) at 7:1:2:1 (RGBFr). R light had the greatest growth-promoting effect based on plant height, leaf length, leaf width, stem diameter, and leaf area. However, leaf width and root length exhibited the greatest growth under RGB. The fresh and dry weight of shoots and roots were hi

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Sahabi, Hossein, and Jalal Baradaran-Motie. "Detection of mite infested saffron plants using aerial imaging and machine learning classifier." Spanish Journal of Agricultural Research 22, no. 4 (2025): 20452. https://doi.org/10.5424/sjar/2024224-20452.

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Aim of study: To evaluate and develop a machine learning code that uses aerial images in visible and near infrared (NIR) spectra to detect mite-infested Saffron (Crocus sativus L.) plants through processing the spectral indices to classify healthy and diseased plants. This leads to the identification of the concentration points of the bulb mites and the estimation of the percentage of infestation in the field. Area of study: Khorasan-Razavi province, Torbat-Heydarieh, Iran. Material and methods: Five fields were randomly selected and their red-green-blue (RGB), as a typical visible spectral im

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Slamet, B., D. Adinda, O. P. J. Nduru, and Samsuri. "Utilization of unmanned aerial vehicle (UAV) in identifying the characteristics of the riparian ecosystem of the Percut River, North Sumatra Province." IOP Conference Series: Earth and Environmental Science 1115, no. 1 (2022): 012083. http://dx.doi.org/10.1088/1755-1315/1115/1/012083.

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Abstract The Percut River border area has changed its function. Changes in land use result in a decrease in the area and types of vegetation that grow on river borders. Considering that the area is quite long and inaccessible in some locations, it can identify riparian vegetation by utilizing remote sensing technology. This study aims to identify the characteristics of the Percut river riparian vegetation using a UAV. Eight vegetation indices were used to analyse land cover types in this riparian ecosystem, namely Green-red ratio (GR), Green-red vegetation index (GRVI), RGB-based vegetation in

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Kim, J. W., H. I. Kim, and Y. J. Sohn. "Red-giant branch morphology of metal-poor globular clusters in the Galactic bulge." Proceedings of the International Astronomical Union 3, S245 (2007): 363–64. http://dx.doi.org/10.1017/s1743921308018139.

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AbstractUsing the (J − K, K) color-magnitude diagrams (CMDs) of 16 metal-poor globular clusters in the Galactic bulge, we investigate the morphological properties of their red-giant branch (RGB), comparing with those of metal-rich clusters in the Galactic bulge and metal-poor clusters in the Galactic halo. The RGB morphological parameters, such as colors at fixed magnitudes, magnitudes at a fixed color, the RGB slope, and a difference of color indices at two fixed magnitudes have been derived from the near-IR CMDs for each cluster. Metal-poor Galactic bulge clusters follow the previous empiric

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Li, Guang, Wenting Han, Shenjin Huang, Weitong Ma, Qian Ma, and Xin Cui. "Extraction of Sunflower Lodging Information Based on UAV Multi-Spectral Remote Sensing and Deep Learning." Remote Sensing 13, no. 14 (2021): 2721. http://dx.doi.org/10.3390/rs13142721.

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The rapid and accurate identification of sunflower lodging is important for the assessment of damage to sunflower crops. To develop a fast and accurate method of extraction of information on sunflower lodging, this study improves the inputs to SegNet and U-Net to render them suitable for multi-band image processing. Random forest and two improved deep learning methods are combined with RGB, RGB + NIR, RGB + red-edge, and RGB + NIR + red-edge bands of multi-spectral images captured by a UAV (unmanned aerial vehicle) to construct 12 models to extract information on sunflower lodging. These model

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Kim, Hee Jin, Jae Hyun Ryou, Kang Ta Choi, Sun Mi Kim, Jee Taek Kim, and Doug Hyun Han. "Deficits in color detection in patients with Alzheimer disease." PLOS ONE 17, no. 1 (2022): e0262226. http://dx.doi.org/10.1371/journal.pone.0262226.

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Deficits in color vision and related retinal changes hold promise as early screening biomarkers in patients with Alzheimer’s disease. This study aimed to determine a cut-off score that can screen for Alzheimer’s dementia using a novel color vision threshold test named the red, green, and blue (RGB) modified color vision plate test (RGB-vision plate). We developed the RGB-vision plate consisting of 30 plates in which the red and green hues of Ishihara Plate No.22 were sequentially adjusted. A total of 108 older people participated in the mini-mental state examination (MMSE), Ishihara plate, and

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Lee, Kyu Seung, Jaeho Shim, Hyunbok Lee, et al. "Unveiling the composite structures of emissive consolidated p–i–n junction nanocells for white light emission." Nanoscale 10, no. 29 (2018): 13867–74. http://dx.doi.org/10.1039/c8nr01842a.

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Hybrid organic-Red-Green-Blue (RGB) color quantum dots were incorporated into consolidated p(polymer)–i(RGB quantum dots)–n(small molecules) junction structures to fabricate a single active layer for a light emitting diode device for white electroluminescence.

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Kumar K, Kavin, Amirthavarshini S A, and Dhivya Dharshini T. "Optimization Of Memory Usage in High-Speed Cameras Using FPGA." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42409.

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High-speed cameras generate large amounts of data, making memory optimization difficult for real-time processing. This project minimizes data size by converting RGBA (Red, Green, Blue, Alpha) images to RGB, eliminating the Alpha channel to reduce memory usage. The captured images are provided as input to Verilog code in hexadecimal format, with the conversion done by MATLAB. Bilinear Interpolation is applied to reduce the potential quantization errors during the conversion, using the values of four surrounding pixels to smooth the image and maintain quality. After processing, the image is reco

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Leščinskaitė, Alina, Rima Stonkutė, and Vladas Vansevičius. "Bright-red stars in the dwarf irregular galaxy Leo A." Proceedings of the International Astronomical Union 14, S344 (2018): 99–102. http://dx.doi.org/10.1017/s1743921318006427.

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AbstractWe analysed a population of bright-red (BR) stars in the dwarf irregular galaxy Leo A by using multicolour photometry data obtained with the Subaru/Suprime-Cam (B, V, R, I,Hα) and HST/ACS (F475W & F814W) instruments. In order to separate the Milky Way (MW) and Leo A populations of red stars, we developed a photometric method, which enabled us to study the spatial distribution of BR stars within the Leo A galaxy.We found a significant difference in the scale-length (S-L) of radial distributions of the “young” and “old” red giant branch (RGB) stars – 0′.82 ± 0′.04 and 1′53 ± 0′.03, r

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Dali, Mohd Rumaizan Maidan, Aiman Shahmi Azam, Mohamad Faizal Abd Rahman, et al. "Optical absorbance of RGB LEDs in pH measurement of colorimetric solution with phenol red reagent." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1330–37. https://doi.org/10.11591/ijeecs.v27.i3.pp1330-1337.

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The use of red, green, and blue (RGB) light-emitting-diode (LED) is a new trend in monochromatic colorimetric sensing due to cost-effective implementation. However, the application of RGB LED in pH measurement depends on the performance of the LED colour towards the colorimetric solution of interest, hence, needs to be evaluated. This work evaluated the performance of RGB LED for pH measurement system based on colorimetric approach using phenol red as a reagent. The main objective was to identify the LED colour with the best performance in terms of signal response and absorbance behavior. In t

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Purwanto, Anang Dwi, and Wikanti Asriningrum. "IDENTIFICATION OF MANGROVE FORESTS USING MULTISPECTRAL SATELLITE IMAGERIES." International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, no. 1 (2019): 63. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3097.

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The visual identification of mangrove forests is greatly constrained by combinations of RGB composite. This research aims to determine the best combination of RGB composite for identifying mangrove forest in Segara Anakan, Cilacap using the Optimum Index Factor (OIF) method. The OIF method uses the standard deviation value and correlation coefficient from a combination of three image bands. The image data comprise Landsat 8 imagery acquired on 30 May 2013, Sentinel 2A imagery acquired on 18 March 2018 and images from SPOT 6 acquired on 10 January 2015. The results show that the band composites

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Jørgensen, Andreas Christ Sølvsten, Josefina Montalbán, Andrea Miglio, et al. "Investigating surface correction relations for RGB stars." Monthly Notices of the Royal Astronomical Society 495, no. 4 (2020): 4965–80. http://dx.doi.org/10.1093/mnras/staa1480.

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ABSTRACT State-of-the-art stellar structure and evolution codes fail to adequately describe turbulent convection. For stars with convective envelopes such as red giants, this leads to an incomplete depiction of the surface layers. As a result, the predicted stellar oscillation frequencies are haunted by systematic errors, the so-called surface effect. Different empirically and theoretically motivated correction relations have been proposed to deal with this issue. In this paper, we compare the performance of these surface correction relations for red giant branch stars. For this purpose, we ap

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Feng, Shijie, Li Zhao, Jie Hu, Xiaolong Zhou, and Sixian Chan. "Depth-Quality Purification Feature Processing for Red Green Blue-Depth Salient Object Detection." Electronics 13, no. 1 (2023): 93. http://dx.doi.org/10.3390/electronics13010093.

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With the advances in deep learning technology, Red Green Blue-Depth (RGB-D) Salient Object Detection (SOD) based on convolutional neural networks (CNNs) is gaining more and more attention. However, the accuracy of current models is challenging. It has been found that the quality of the depth features profoundly affects the accuracy. Several current RGB-D SOD techniques do not consider the quality of the depth features and directly fuse the original depth features and Red Green Blue (RGB) features for training, resulting in enhanced precision of the model. To address this issue, we propose a de

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Xie, Mingfeng, Jianping Liu, Pingsheng Zhou, et al. "Development of a digital imaging analysis system to evaluate the treatment response in superficial infantile hemangiomas." PLOS ONE 18, no. 3 (2023): e0282274. http://dx.doi.org/10.1371/journal.pone.0282274.

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Superficial infantile hemangiomas (IH) are benign vascular tumors common in children characterized by bright red "strawberry" lesions on the skin. In order to optimize the treatment for this disease, there is a need to develop objective tools to assess treatment response. Since a color change in the lesion is a good indicator of treatment response, we have developed a digital imaging system to quantify the values of red, green, and blue (RGB) difference and RGB ratio between the tumor and normal tissue to take into account the variations in color between different skin types. The efficacy of t

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Cao, Xiaofeng, Yulin Liu, Rui Yu, Dejun Han, and Baofeng Su. "A Comparison of UAV RGB and Multispectral Imaging in Phenotyping for Stay Green of Wheat Population." Remote Sensing 13, no. 24 (2021): 5173. http://dx.doi.org/10.3390/rs13245173.

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High throughput phenotyping (HTP) for wheat (Triticum aestivum L.) stay green (SG) is expected in field breeding as SG is a beneficial phenotype for wheat high yield and environment adaptability. The RGB and multispectral imaging based on the unmanned aerial vehicle (UAV) are widely popular multi-purpose HTP platforms for crops in the field. The purpose of this study was to compare the potential of UAV RGB and multispectral images (MSI) in SG phenotyping of diversified wheat germplasm. The multi-temporal images of 450 samples (406 wheat genotypes) were obtained and the color indices (CIs) from

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Lee, Myung Gyoon. "Stellar Populations in the Pegasus Dwarf Galaxy." Symposium - International Astronomical Union 164 (1995): 413. http://dx.doi.org/10.1017/s0074180900109301.

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The Pegasus dwarf galaxy (DDO 216) is a resolved irregular galaxy. We present a study of stars in this galaxy based on BV RI CCD photometry obtained using the Palomar 1.5m telescope. The color-magnitude diagrams show (a) a dominant red giant branch (RGB) population, (b) a small number of asymptotic giant branch (AGB) population above the tip of the RGB (TRGB), and (c) a sparse popultion of massive young stars including the brightest red supergiants. The mean metallicity of the RGB has been estimated from the color of the RGB at MI = −3.5 mag: [Fe/H] = −1.5 ± 0.2 dex. The distance to this galax

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Kwak, Jeonghoon, and Yunsick Sung. "Automatic 3D Landmark Extraction System Based on an Encoder–Decoder Using Fusion of Vision and LiDAR." Remote Sensing 12, no. 7 (2020): 1142. http://dx.doi.org/10.3390/rs12071142.

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To provide a realistic environment for remote sensing applications, point clouds are used to realize a three-dimensional (3D) digital world for the user. Motion recognition of objects, e.g., humans, is required to provide realistic experiences in the 3D digital world. To recognize a user’s motions, 3D landmarks are provided by analyzing a 3D point cloud collected through a light detection and ranging (LiDAR) system or a red green blue (RGB) image collected visually. However, manual supervision is required to extract 3D landmarks as to whether they originate from the RGB image or the 3D point c

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Mohd Ali, Nursabillilah, Nahrul Khair Alang Md Rashid, and Yasir Mohd Mustafah. "Performance Comparison between RGB and HSV Color Segmentations for Road Signs Detection." Applied Mechanics and Materials 393 (September 2013): 550–55. http://dx.doi.org/10.4028/www.scientific.net/amm.393.550.

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This paper compares the performance of RGB and HSV color segmentations method in road signs detection. The road signs images are taken under various illumination changes, partial occlusion and rotational changes. The proposed algorithms using both RGB and HSV color space are able to detect the 3 standard types of colored images namely Red, Yellow and Blue. The experiment shows that the HSV color algorithm achieved better detection accuracy compared to RGB color space.

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Benitez-Palacios, Diego, Murat Uzundag, Maja Vučković, et al. "Volume-limited sample of low-mass red giant stars, the progenitors of hot subdwarf stars." Astronomy & Astrophysics 697 (May 2025): A98. https://doi.org/10.1051/0004-6361/202452782.

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Context. Binary hot subdwarf B (sdB) stars are typically produced from low-mass red giant branch (RGB) stars that have lost almost all their envelopes through binary mass transfer while still fusing helium in their cores. Particularly, when a low-mass red giant enters stable Roche lobe overflow (RLOF) mass transfer near the tip of the RGB, a long-period sdB binary may be formed. Aims. We aim to extend our previous volume-limited sample of 211 stars within 200 pc, a homogeneous sample of low-mass red giants, predicted progenitors of wide sdB binaries, to 500 pc and validate it. Additionally, ou

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Dali, Mohd Rumaizan Maidan, Aiman Shahmi Azam, Mohamad Faizal Abd Rahma, et al. "Optical absorbance of RGB LEDs in pH measurement of colorimetric solution with phenol red reagent." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1330. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1330-1337.

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The use of red, green, and blue ( RGB ) light-emitting-diode ( LED ) is a new trend in monochromatic colorimetric sensing due to cost-effective implementation. However, the application of RGB LED in pH measurement depends on the performance of the LED colour towards the colorimetric solution of interest, hence, needs to be evaluated. This work evaluated the performance of RGB LED for pH measurement system based on colorimetric approach using phenol red as a reagent. The main objective was to identify the LED colour with the best performance in terms of signal response and a bsorbance behavior.

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Carillo, Petronia, Christophe El-Nakhel, Veronica De Micco, et al. "Morpho-Metric and Specialized Metabolites Modulation of Parsley Microgreens through Selective LED Wavebands." Agronomy 12, no. 7 (2022): 1502. http://dx.doi.org/10.3390/agronomy12071502.

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Plant factories and high-tech greenhouses offer the opportunity to modulate plant growth, morphology and qualitative content through the management of artificial light (intensity, photoperiod and spectrum). In this study, three Light Emitting Diode (LED) lighting systems, with blue (B, 460 nm), red (R, 650 nm) and mixed red + green-yellow + blue (RGB) light were used to grow parsley microgreens to understand how light quality could change the phenotype and the profile of secondary metabolites. Plants showed altered morphological characteristics and higher amounts of secondary metabolites under

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Zhou, Yutao, Chun Wang, Hongliang Yan, et al. "Li-rich Giants in LAMOST Survey. III. The Statistical Analysis of Li-rich Giants." Astrophysical Journal 931, no. 2 (2022): 136. http://dx.doi.org/10.3847/1538-4357/ac6b3a.

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Abstract The puzzle of the Li-rich giant is still unsolved, contradicting the prediction of the standard stellar models. Although the exact evolutionary stages play a key role in the knowledge of Li-rich giants, a limited number of Li-rich giants have been observed with high-quality asteroseismic parameters to clearly distinguish the stellar evolutionary stages. Based on the LAMOST Data Release 7 (DR7), we applied a data-driven neural network method to derive the parameters for giant stars, which contain the largest number of Li-rich giants. The red giant stars are classified into three stages

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Skala, Vaclav. "Multispectral Image Generation from RGB Based on WSL Color Representation: Wavelength, Saturation, and Lightness." Computers 12, no. 9 (2023): 182. http://dx.doi.org/10.3390/computers12090182.

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Image processing techniques are based nearly exclusively on RGB (red–green–blue) representation, which is significantly influenced by technological issues. The RGB triplet represents a mixture of the wavelength, saturation, and lightness values of light. It leads to unexpected chromaticity artifacts in processing. Therefore, processing based on the wavelength, saturation, and lightness should be more resistant to the introduction of color artifacts. The proposed process of converting RGB values to corresponding wavelengths is not straightforward. In this contribution, a novel simple and accura

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Lopes, José, and Ilídio Lopes. "Dark matter capture and annihilation in stars: Impact on the red giant branch tip." Astronomy & Astrophysics 651 (July 2021): A101. http://dx.doi.org/10.1051/0004-6361/202140750.

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Context. While stars have often been used as laboratories to study dark matter (DM), red giant branch (RGB) stars and all the rich phenomenology they encompass have frequently been overlooked by such endeavors. Aims. We study the capture, evaporation, and annihilation of weakly interacting massive particle (WIMP) DM in low-mass RGB stars (M = 0.8−1.4 M⊙). Methods. We used a modified stellar evolution code to study the effects of DM self-annihilation on the structure and evolution of low-mass RGB stars. Results. We find that the number of DM particles that accumulate inside low-mass RGB stars i

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James, Dizna, Smitha Subramanian, Abinaya O. Omkumar, et al. "Presence of red giant population in the foreground stellar substructure of the Small Magellanic Cloud." Monthly Notices of the Royal Astronomical Society 508, no. 4 (2021): 5854–63. http://dx.doi.org/10.1093/mnras/stab2873.

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ABSTRACT The eastern region of the Small Magellanic Cloud (SMC) is found to have a foreground stellar substructure, which is identified as a distance bimodality (∼12 kpc apart) in the previous studies using red clump (RC) stars. Interestingly, studies of red giant branch (RGB) stars in the eastern SMC indicate a bimodal radial velocity (RV) distribution. In this study, we investigate the connection between these two bimodal distributions to better understand the nature and origin of the foreground stellar substructure in the eastern SMC. We use the Gaia Early Data Release 3 astrometric data an

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Blouin, Simon, Huaqing Mao, Falk Herwig, Pavel Denissenkov, Paul R. Woodward, and William R. Thompson. "3D hydrodynamics simulations of internal gravity waves in red giant branch stars." Monthly Notices of the Royal Astronomical Society 522, no. 2 (2023): 1706–25. http://dx.doi.org/10.1093/mnras/stad1115.

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ABSTRACT We present the first 3D hydrodynamics simulations of the excitation and propagation of internal gravity waves (IGWs) in the radiative interiors of low-mass stars on the red giant branch (RGB). We use the ppmstar explicit gas dynamics code to simulate a portion of the convective envelope and all the radiative zone down to the hydrogen-burning shell of a $1.2\, {\rm M}_{\odot }$ upper RGB star. We perform simulations for different grid resolutions (7683, 15363, and 28803), a range of driving luminosities, and two different stratifications (corresponding to the bump luminosity and the ti

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Wang, Hai-Feng, Giovanni Carraro, Xin Li, et al. "Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method." Astrophysical Journal 967, no. 1 (2024): 37. http://dx.doi.org/10.3847/1538-4357/ad3b90.

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Abstract In this study, we estimate the stellar ages of LAMOST DR8 red giant branch (RGB) stars based on the gradient boosting decision tree (GBDT) algorithm. We used 2643 RGB stars extracted from the APOKASC-2 asteroseismological catalog as the training data set. After selecting the parameters ([α/Fe], [C/Fe], T eff, [N/Fe], [C/H], log g) highly correlated with age using GBDT, we apply the same GBDT method to the new catalog of more than 590,000 stars classified as RGB stars. The test data set shows that the median relative error is around 11.6% for the method. We also compare the predicted a

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Feng, Haikuan, Huilin Tao, Zhenhai Li, Guijun Yang, and Chunjiang Zhao. "Comparison of UAV RGB Imagery and Hyperspectral Remote-Sensing Data for Monitoring Winter Wheat Growth." Remote Sensing 14, no. 15 (2022): 3811. http://dx.doi.org/10.3390/rs14153811.

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Although crop-growth monitoring is important for agricultural managers, it has always been a difficult research topic. However, unmanned aerial vehicles (UAVs) equipped with RGB and hyperspectral cameras can now acquire high-resolution remote-sensing images, which facilitates and accelerates such monitoring. To explore the effect of monitoring a single crop-growth indicator and multiple indicators, this study combines six growth indicators (plant nitrogen content, above-ground biomass, plant water content, chlorophyll, leaf area index, and plant height) into the new comprehensive growth index

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Sun, Xue, and Li Zhao. "RGB Pixel Brightness Characteristics of Linked Color Imaging in Early Gastric Cancer: A Pilot Study." Gastroenterology Research and Practice 2020 (March 31, 2020): 1–7. http://dx.doi.org/10.1155/2020/2105874.

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Background and Aims. Linked color imaging (LCI) helps screen and diagnose for early gastric cancer by color contrast in different mucosa. RGB (red, green, and blue) pixel brightness quantifies colors, which is relatively objective. Limited studies have combined LCI images with RGB to help screen for early gastric cancer (EGC). We aimed to evaluate the RGB pixel brightness characteristics of EGC and noncancer areas in LCI images. Methods. We retrospectively reviewed early gastric cancer (EGC) patients and LCI images. All pictures were evaluated by at least two endoscopic physicians. RGB pixel b

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McCormick, Caroline, Steven R. Majewski, Verne V. Smith, et al. "An investigation of non-canonical mixing in red giant stars using APOGEE 12C/13C ratios observed in open cluster stars." Monthly Notices of the Royal Astronomical Society 524, no. 3 (2023): 4418–30. http://dx.doi.org/10.1093/mnras/stad2156.

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ABSTRACT Standard stellar evolution theory poorly predicts the surface abundances of chemical species in low-mass, red giant branch (RGB) stars. Observations show an enhancement of p–p chain and CNO cycle products in red giant envelopes, which suggests the existence of non-canonical mixing that brings interior burning products to the surface of these stars. The 12C/13C ratio is a highly sensitive abundance metric used to probe this mixing. We investigate extra RGB mixing by examining: (1) how 12C/13C is altered along the RGB, and (2) how 12C/13C changes for stars of varying age and mass. Our s

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Sermyagin, Alexander A., Arsen V. Dotsev, Alexandra S. Abdelmanova, Johann Sölkner, and Natalia A. Zinovieva. "PSXIV-26 Selection footprints in Russian red cattle identified by linkage disequilibrium blocks based on SNP data." Journal of Animal Science 99, Supplement_3 (2021): 255–56. http://dx.doi.org/10.1093/jas/skab235.467.

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Abstract Among the variety of cattle breeds in Russia, the Russian red dual-purpose cattle breeds have great importance because of their ability to produce high milk yields as well as to provide excellent milk quality. The low census size of the Russian red cattle breeds requires development of programs for conservation of their biodiversity. Our study aimed to investigate selection footprints in Russian red cattle breeds, using high values of linkage disequilibrium (LD) in SNP haplotype blocks as indicators. For finding such LD blocks, we used the genotypes (≈35K SNPs) of Red Gorbatov (RGB, n

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Kumar, K. Arun, Shanmukha N. T, Lokeshappa B, and Vinayaka M. "Kinetic Studies On Reactive Dye Removal From Aqueous Solution By Using Arecanut Peel." International Journal of Membrane Science and Technology 9, no. 2 (2022): 155–64. http://dx.doi.org/10.15379/ijmst.v9i2.3679.

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This research aims at finding the effectiveness of Remazole Red RGB dye removal using arecanut peel, an agricultural waste, as an activated carbon. The arecanut peel-activated carbon was prepared in the laboratory by carbonization followed by activation. Adsorption studies were carried out to look for the effect of different experimental scenarios, like different pH values, varying contact times, the initial concentration of dye, and changing arecanut peel carbon dosage, on the removal efficiency of Remazole Red RGB dye from the experimental solution. The equilibrium experimental results were

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Zhang, Yuanxi, Ye Tian, Change Zheng, Dong Zhao, Po Gao, and Ke Duan. "SEGMENTATION OF APPLE POINT CLOUDS BASED ON ROI IN RGB IMAGES." INMATEH Agricultural Engineering 59, no. 3 (2019): 209–18. http://dx.doi.org/10.35633/inmateh-59-23.

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Autonomous harvesting and evaluation of apples reduce the labour cost. Segmentation of apple point clouds from consumer-grade RGB-D camera is the most important and challenging step in the harvesting process due to the complex structure of apple trees. This paper put forward a segmentation method of apple point clouds based on regions of interest (ROI) in RGB images. Firstly, an annotated RGB dataset of apple trees was built and applied to train the optimized Faster R-CNN to locate ROI containing apples in RGB images. Secondly, the relationship between RGB images and depth images was built to

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Anderson, Connor J., Daniel Heins, Keith C. Pelletier, and Joseph F. Knight. "Using Voting-Based Ensemble Classifiers to Map Invasive Phragmites australis." Remote Sensing 15, no. 14 (2023): 3511. http://dx.doi.org/10.3390/rs15143511.

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Machine learning is frequently combined with imagery acquired from uncrewed aircraft systems (UASs) to detect invasive plants. Having prior knowledge of which machine learning algorithm will produce the most accurate results is difficult. This study examines the efficacy of a voting-based ensemble classifier to identify invasive Phragmites australis from three-band (red, green, blue; RGB) and five-band (red, green, blue, red edge, near-infrared; multispectral; MS) UAS imagery acquired over multiple Minnesota wetlands. A Random Forest, histogram-based gradient-boosting classification tree, and

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Nurfawaidi, Arjun, Bambang Kuswandi, and Lestyo Wulandari. "Pengembangan Label Pintar untuk Indikator Kesegaran Daging Sapi pada Kemasan." Pustaka Kesehatan 6, no. 2 (2018): 199. http://dx.doi.org/10.19184/pk.v6i2.7560.

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 Meat is a high nutritional food that rich of protein, fat, and sugar. Smart label has been applied as a beef freshness detector. Two types of pH indicator have been used i.e bromocresol purple (BCP) and methyl red (MR) as dual indicator freshness. The objective of this research was to determine the beef freshness using smart label at room temperature. The color change of the smart label was examined by imageJ software to determine the freshness degree using the mean RGB value. The beef was examined every 2 hours for pH and total volatile base (TVB-N) analysis during the 24 hours storage

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Liu, Yanli, Heng Zhang, and Chao Huang. "A Novel RGB-D SLAM Algorithm Based on Cloud Robotics." Sensors 19, no. 23 (2019): 5288. http://dx.doi.org/10.3390/s19235288.

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In this paper, we present a novel red-green-blue-depth simultaneous localization and mapping (RGB-D SLAM) algorithm based on cloud robotics, which combines RGB-D SLAM with the cloud robot and offloads the back-end process of the RGB-D SLAM algorithm to the cloud. This paper analyzes the front and back parts of the original RGB-D SLAM algorithm and improves the algorithm from three aspects: feature extraction, point cloud registration, and pose optimization. Experiments show the superiority of the improved algorithm. In addition, taking advantage of the cloud robotics, the RGB-D SLAM algorithm

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Mallick, Anohita, Bacham E. Reddy, and C. Muthumariappan. "Probing infrared excess connection with Li enhancement among red clump giants." Monthly Notices of the Royal Astronomical Society 511, no. 3 (2022): 3741–50. http://dx.doi.org/10.1093/mnras/stac224.

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ABSTRACT We have performed a search among low-mass red giants for finding evidence for merger scenario for triggering He-flash and subsequent Li enhancement. We chose a sample of red giants from GALAH survey with well-measured Li abundances, and near- and mid-IR fluxes from 2MASS and WISE surveys, respectively. The sample contains 418 cool red clump giants and 359 upper red giant branch (RGB) giants. Most of the giants and majority of super Li-rich giants show no IR excess. Only five red clump giants and one RGB giant show IR excess. Notably, of the five red clump giants with IR excess, three

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Madore, Barry F., Wendy L. Freedman, Kayla A. Owens, and In Sung Jang. "Quantifying Uncertainties on the Tip of the Red Giant Branch Method." Astronomical Journal 166, no. 1 (2023): 2. http://dx.doi.org/10.3847/1538-3881/acd3f3.

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Abstract We present an extensive grid of numerical simulations quantifying the uncertainties in measurements of the tip of the red giant branch (TRGB). These simulations incorporate a luminosity function composed of 2 mag of red giant branch (RGB) stars leading up to the tip, with asymptotic giant branch (AGB) stars contributing exclusively to the luminosity function for at least a magnitude above the RGB tip. We quantify the sensitivity of the TRGB detection and measurement to three important error sources: (1) the sample size of stars near the tip, (2) the photometric measurement uncertainti

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Alongi, M., G. Bertelli, A. Bressan, and C. Chiosi. "Effects of envelope overshoot on the bump of the Red Giant Branch luminosity function." Symposium - International Astronomical Union 148 (1991): 325–26. http://dx.doi.org/10.1017/s0074180900200685.

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We show that a certain amount of non-local overshoot at the base of the outer convective envelop of low mass stars, while climbing along the RGB toward central He-ignition, explains the shift of about 0.4V mag required to bring the luminosity of the bump predicted in the theoretical RGB luminosity functions into agreement with the observational one.

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Ogasawara, Kouki, Kazuki Nakamura, and Norihisa Kobayashi. "Thermally controlled dual-mode display media with red-green-blue coloration and fluorescence via energy transfer between emission materials and leuco dyes." Journal of Materials Chemistry C 4, no. 21 (2016): 4805–13. http://dx.doi.org/10.1039/c6tc01027j.

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