Search Results - "Prabhakar, Maheswari"

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  1. 1

    Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review by Maheswari, Prabhakar, Raja, Purushothaman, Apolo-Apolo, Orly Enrique, Pérez-Ruiz, Manuel

    Published in Frontiers in plant science (25-06-2021)
    “…Smart farming employs intelligent systems for every domain of agriculture to obtain sustainable economic growth with the available resources using advanced…”
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    Journal Article
  2. 2

    Intelligent yield estimation for tomato crop using SegNet with VGG19 architecture by Maheswari, Prabhakar, Raja, Purushothamman, Hoang, Vinh Truong

    Published in Scientific reports (10-08-2022)
    “…Yield estimation (YE) of the crop is one of the main tasks in fruit management and marketing. Based on the results of YE, the farmers can make a better…”
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    Journal Article
  3. 3

    Deep learning based assessment of disease severity for early blight in tomato crop by Prabhakar, Maheswari, Purushothaman, Raja, Awasthi, Durga Prasad

    Published in Multimedia tools and applications (01-10-2020)
    “…Assessment of disease severity is one of the major challenges which helps in the prediction of yield quantitatively and to decide the control factors that…”
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    Journal Article
  4. 4

    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
  5. 5

    Yield Estimation of Guava Fruit using U-Net Architecture by Maheswari, Prabhakar, Reddy, Mallidi Jaswanth, Preetam Reddy, Vogireddi S.S., Bhargav, Thoomu Sai, Raja, Purushothamman, Hoang, Vinh Truong

    “…Crop yield estimation is one of the important fields in agriculture since it decides harvesting and marketing. In the olden days, farmers employed manual yield…”
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    Conference Proceeding