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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

Rice Disease Detection using Faster R-CNN Approach

The record

Type
Publication
Date
1 January 2024
Level
National
Journal
Proceedings 2024 Oits International Conference on Information Technology Ocit 2024
Pages
60-67
Published
1 January 2024
DOI
10.1109/ocit65031.2024.00020
Scopus ID
105004809439
Authors
4
Open access
No
Citations
4
International co-authorship
No
Co-author countries
IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture

    GoalPrimaryHigh confidenceJudged

    Faster R-CNN deep learning approach for rice disease detection achieves 98-99% accuracy for Leaf Blast, Brown Spot, and Hispa diagnosis.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Expanded dataset and optimized deep learning parameters demonstrate research innovation in agricultural computer vision.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.1 Agriculture and the rural economy

    Sub-themePrimaryHigh confidenceJudged

    Automated rice disease diagnosis enables early intervention preventing crop damage and supporting food security.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Rice Disease Detection using Faster R-CNN Approach”. Kortex.

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Rice Disease Detection using Faster R-CNN Approach · Kortex