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

Publication2023

Real Time Agricultural Monitoring with Deep Learning Using Wireless Sensor Framework

The record

Type
Publication
Date
1 January 2023
Level
National
Journal
IEEE International Conference on Electrical Electronics Communication and Computers Elexcom 2023
Published
1 January 2023
DOI
10.1109/elexcom58812.2023.10370051
Scopus ID
85182929114
Authors
4
Open access
No
Citations
2
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. 2.3 Double the agricultural productivity and incomes of small-scale food producers

    TargetPrimaryHigh confidenceJudged

    Real-time precision agriculture system integrating wireless sensors and deep learning weed detection enables targeted pesticide application reducing chemical use while protecting crops

    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

    Intelligent agricultural monitoring technology improves farming productivity, reduces input costs and supports sustainable crop management for farmer livelihoods

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

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KIIT Deemed to be University. “Real Time Agricultural Monitoring with Deep Learning Using Wireless Sensor Framework”. Kortex.

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