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

Publication2019

Recommendation system for crop identification and pest control technique in agriculture

The record

Type
Publication
Date
23 April 2019
Level
National
Journal
Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing Iccsp 2019
Pages
185-189
Published
23 April 2019
DOI
10.1109/iccsp.2019.8698099
Scopus ID
85065578332
Authors
3
Open access
No
Citations
121
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 2.3 Double the agricultural productivity and incomes of small-scale food producers

    TargetPrimaryHigh confidenceJudged

    Develops recommendation system using machine learning for crop identification and pest control selection, improving farming productivity and income.

    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

Viksit Bharat @2047

  1. vb-2.1 Agriculture and the rural economy

    Sub-themePrimaryHigh confidenceJudged

    Applies artificial intelligence to agriculture enabling smallholder farmers to make informed crop and pest management decisions.

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

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KIIT Deemed to be University. “Recommendation system for crop identification and pest control technique in agriculture”. Kortex.

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Recommendation system for crop identification and pest control technique in agriculture · Kortex