Search Results - "Rangarajan, Aravind Krishnaswamy"

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  1. 1

    Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM by Krishnaswamy Rangarajan, Aravind, Purushothaman, Raja

    Published in Scientific reports (11-02-2020)
    “…Currently, the application of deep learning in crop disease classification is one of the active areas of research for which an image dataset is required…”
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    Journal Article
  2. 2

    Automated disease classification in (Selected) agricultural crops using transfer learning by Rangarajan Aravind , Krishnaswamy, Raja, Purushothaman

    Published in Automatika (02-04-2020)
    “…The biotic stress of agricultural crops is a major concern across the globe. Especially, its major effects are felt in economically poor countries where…”
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    Journal Article Paper
  3. 3

    A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images by Krishnaswamy Rangarajan, Aravind, Ramachandran, Hari Krishnan

    Published in Automatika (02-01-2022)
    “…Computed tomography is an effective tool that can be used for the fast diagnosis of COVID-19. However, in high case-load scenarios, there are chances of delay…”
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    Journal Article Paper
  4. 4
  5. 5

    Disease classification in aubergine with local symptomatic region using deep learning models by Krishnaswamy Rangarajan, Aravind, Purushothaman, Raja, Pérez-Ruiz, Manuel

    Published in Biosystems engineering (01-09-2021)
    “…Recent trends in the application of deep learning techniques for crop disease classification is gaining international attention among experts of various…”
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    Journal Article
  6. 6

    A Vision Based Crop Monitoring System Using Segmentation Techniques by KRISHNASWAMY RANGARAJAN, A., PURUSHOTHAMAN, R.

    “…The characterization of health status for a plant using a non-destructive method is one of the challenging problems. In this study, the number of leaves and…”
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    Journal Article
  7. 7

    A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images by Rangarajan, Aravind Krishnaswamy, Ramachandran, Hari Krishnan

    Published in Expert systems with applications (30-11-2021)
    “…•An AI based diagnosis of COVID-19 using a smartphone application has been explored.•Novel generative adversarial network was created to increase the COVID-19…”
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    Journal Article
  8. 8

    Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug by Ferrari, Veronica, Calvini, Rosalba, Boom, Bas, Menozzi, Camilla, Rangarajan, Aravind Krishnaswamy, Maistrello, Lara, Offermans, Peter, Ulrici, Alessandro

    Published 19-01-2023
    “…Chemometrics and Intelligent Laboratory Systems, 2023, 234, 104751 The brown marmorated stink bug (BMSB), Halyomorpha halys, is an invasive insect pest of…”
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    Journal Article
  9. 9

    The hawk eye scan: Halyomorpha halys detection relying on aerial tele photos and neural networks by Palazzetti, Lorenzo, Rangarajan, Aravind Krishnaswamy, Dinca, Alexandru, Boom, Bas, Popescu, Dan, Offermans, Peter, Pinotti, Cristina M.

    Published in Computers and electronics in agriculture (01-11-2024)
    “…This paper faces the challenge of monitoring the Brown Marmorated Stink Bug (H.halys) (Halyomorpha halys) within orchards, utilizing drones, and computer…”
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    Journal Article
  10. 10

    Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bug by Ferrari, Veronica, Calvini, Rosalba, Boom, Bas, Menozzi, Camilla, Rangarajan, Aravind Krishnaswamy, Maistrello, Lara, Offermans, Peter, Ulrici, Alessandro

    “…The brown marmorated stink bug (BMSB), Halyomorpha halys, is an invasive insect pest of global importance that damages several crops, compromising agri-food…”
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    Journal Article
  11. 11

    Detection of fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning by Almoujahed, Muhammad Baraa, Rangarajan, Aravind Krishnaswamy, Whetton, Rebecca L., Vincke, Damien, Eylenbosch, Damien, Vermeulen, Philippe, Mouazen, Abdul M.

    Published in Computers and electronics in agriculture (01-12-2022)
    “…•FHB detection using the hyperspectral field images at proximal scale was addressed.•Developed a novel segmentation method to extract pixels of wheat ears in…”
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    Journal Article
  12. 12

    Non-destructive detection of fusarium head blight in wheat kernels and flour using visible near-infrared and mid-infrared spectroscopy by Almoujahed, Muhammad Baraa, Rangarajan, Aravind Krishnaswamy, Whetton, Rebecca L., Vincke, Damien, Eylenbosch, Damien, Vermeulen, Philippe, Mouazen, Abdul M.

    “…Fusarium head blight (FHB) is one of the most severe fungal diseases that reduces yield of cereal crops and degrades kernel quality with mycotoxins, which are…”
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    Journal Article
  13. 13

    A low-cost UAV for detection of Cercospora leaf spot in okra using deep convolutional neural network by Rangarajan, Aravind Krishnaswamy, Balu, Edwin Jayaraj, Boligala, Muni Sekhar, Jagannath, Arjun, Ranganathan, Badri Narayanan

    Published in Multimedia tools and applications (01-06-2022)
    “…Artificial Intelligence (AI)-enabled agricultural robotics is expected to significantly disrupt the domain of agriculture with promise of profitable farming…”
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    Journal Article
  14. 14

    Crop identification and disease classification using traditional machine learning and deep learning approaches by Rangarajan, Aravind Krishnaswamy, Purushothaman, Raja, Prabhakar, Maheswari, Szczepański, Cezary

    Published in Maǧallaẗ al-abḥath al-handasiyyaẗ (01-03-2023)
    “…Crop and disease classification is one of the important problems in automation of agricultural processes with multicropping method, where the field is…”
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    Journal Article
  15. 15
  16. 16

    Design and simulation of crop monitoring robot for green house by Aravind, K.R., Raja, P.

    “…Incidence of disease in horticultural crops is one of the important problems affecting the production of fruits, vegetables and flowers. Regular monitoring of…”
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    Conference Proceeding