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  1. AU="Rana, Shubham"
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  1. Article ; Online: Comprehensive Evaluation of Multispectral Image Registration Strategies in Heterogenous Agriculture Environment.

    Rana, Shubham / Gerbino, Salvatore / Crimaldi, Mariano / Cirillo, Valerio / Carillo, Petronia / Sarghini, Fabrizio / Maggio, Albino

    Journal of imaging

    2024  Volume 10, Issue 3

    Abstract: This article is focused on the comprehensive evaluation of alleyways to scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) based multispectral (MS) image registration. In this paper, the idea is to extensively evaluate three ... ...

    Abstract This article is focused on the comprehensive evaluation of alleyways to scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) based multispectral (MS) image registration. In this paper, the idea is to extensively evaluate three such SIFT- and RANSAC-based registration approaches over a heterogenous mix containing
    Language English
    Publishing date 2024-02-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2824270-1
    ISSN 2313-433X ; 2313-433X
    ISSN (online) 2313-433X
    ISSN 2313-433X
    DOI 10.3390/jimaging10030061
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: RafanoSet: Dataset of raw, manually, and automatically annotated Raphanus Raphanistrum weed images for object detection and segmentation.

    Rana, Shubham / Gerbino, Salvatore / Barretta, Domenico / Carillo, Petronia / Crimaldi, Mariano / Cirillo, Valerio / Maggio, Albino / Sarghini, Fabrizio

    Data in brief

    2024  Volume 54, Page(s) 110430

    Abstract: The rationale for this data article is to provide resources which could facilitate the studies focussed over weed detection and segmentation in precision farming using computer vision. We have curated Multispectral (MS) images over crop fields ... ...

    Abstract The rationale for this data article is to provide resources which could facilitate the studies focussed over weed detection and segmentation in precision farming using computer vision. We have curated Multispectral (MS) images over crop fields of
    Language English
    Publishing date 2024-04-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2024.110430
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Study of the Behavior of Super Resolution on Soft-Classified Output

    Rana, Shubham / Kumar, Anil

    Journal of the Indian Society of Remote Sensing. 2019 Oct., v. 47, no. 10

    2019  

    Abstract: Once the satellite sensor is in orbit, no hardware enhancement of the lens assembly can be done to improve spatial and spectral resolution. Super resolution (SR) as single frame or multi-frame can solve this problem up to a large extent. In this study, ... ...

    Abstract Once the satellite sensor is in orbit, no hardware enhancement of the lens assembly can be done to improve spatial and spectral resolution. Super resolution (SR) as single frame or multi-frame can solve this problem up to a large extent. In this study, single- and multi-frame SR techniques were applied and tested on Worldview-2 datasets as well as on across-spatial datasets of LISS III and LISS IV. Study of soft classifier’s behavior on super-resolved images was performed through possibilistic C-means classifier. Quantitative methods based on calculation of peak signal-to-noise ratio, mean square error, root means square error, image quality index and qualitative methods of visual interpretation proved that both super-resolution methods remove outliers in an efficient way and resulted in images containing sharp edges. The single-frame super-resolution technique was found relatively inferior in terms of contrast and spatial resolution. Overall, multi-frame SR method outperformed other methods.
    Keywords data collection ; qualitative analysis ; quantitative analysis ; remote sensing ; satellites ; signal-to-noise ratio ; spectral analysis
    Language English
    Dates of publication 2019-10
    Size p. 1751-1760.
    Publishing place Springer India
    Document type Article
    ZDB-ID 2439566-3
    ISSN 0974-3006 ; 0255-660X
    ISSN (online) 0974-3006
    ISSN 0255-660X
    DOI 10.1007/s12524-019-01026-1
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Non-potable water reuse and the public health risks from protozoa and helminths: a case study from a city with a semi-arid climate.

    Chaudhary, Ayushi / Rana, Shubham / Singh, Rajveer / Gurian, Patrick L / Betancourt, Walter / Kumar, Arun / Kumar, Amit

    Journal of water and health

    2023  Volume 21, Issue 8, Page(s) 981–994

    Abstract: The study estimated the risk due to Cryptosporidium, Giardia, and Ascaris, associated with non-potable water reuse in the city of Jaipur, India. The study first determined the exposure dose of Cryptosporidium, Giardia, and Ascaris based on various ... ...

    Abstract The study estimated the risk due to Cryptosporidium, Giardia, and Ascaris, associated with non-potable water reuse in the city of Jaipur, India. The study first determined the exposure dose of Cryptosporidium, Giardia, and Ascaris based on various wastewater treatment technologies for various scenarios of reuse for six wastewater treatment plants (WWTPs) in the city. The exposure scenarios considered were (1) garden irrigation; (2) working and lounging in the garden; and (3) consumption of crops irrigated with recycled water. The estimated annual risk of infection varied between 8.57 × 10
    MeSH term(s) Animals ; Drinking Water ; Public Health ; Biofilms ; Cryptosporidiosis ; Bioreactors ; Cryptosporidium ; Giardiasis ; Helminths ; Giardia ; Ascaris
    Chemical Substances Drinking Water
    Language English
    Publishing date 2023-08-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2123845-5
    ISSN 1996-7829 ; 1477-8920
    ISSN (online) 1996-7829
    ISSN 1477-8920
    DOI 10.2166/wh.2023.283
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Quantitative Assessment of Microbial Pathogens and Indicators of Wastewater Treatment Performance for Safe and Sustainable Water Reuse in India.

    Chowdhari, Shruti / Rana, Shubham / Rana, Samridhi / Morrison, Christina M / Abney, Sarah Elizabeth / Singh, Rajveer / Gurian, Patrick L / Kumar, Amit / Kumar, Arun / Betancourt, Walter Q / Vivekanandan, Perumal

    Microbiology spectrum

    2022  , Page(s) e0172022

    Abstract: Currently, there is no data on the molecular quantification of microbial indicators of recycled water quality in India. In this study, multiple microbial pathogens and indicators of water quality were evaluated at three wastewater treatment plants ... ...

    Abstract Currently, there is no data on the molecular quantification of microbial indicators of recycled water quality in India. In this study, multiple microbial pathogens and indicators of water quality were evaluated at three wastewater treatment plants located in two Indian cities (New Delhi and Jaipur) to determine the treatment performance and suitability of recycled water for safe and sustainable reuse applications. Real-time polymerase chain reaction (PCR) was used for the rapid evaluation of six human pathogens and six microbial indicators of fecal contamination. Among the microbial indicators, pepper mild mottle virus (PMMoV), F
    Language English
    Publishing date 2022-10-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.01720-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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