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

Publication2025

Artificial Cognition for Applications in Smart Agriculture

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
Lecture Notes in Networks and Systems
Volume
1291 LNNS
Pages
345-357
Published
1 January 2025
DOI
10.1007/978-981-96-3244-2_27
Scopus ID
105008971245
ISSN
23673370
Authors
4
Open access
No
Citations
0
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

    AI applications in smart agriculture including precision farming, disease detection and crop phenotyping directly address zero hunger and productivity

    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

    Artificial intelligence and IoT methodology for agriculture represents research innovation in smart farming technologies

    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

    Agricultural AI technology supports agriculture and rural economy through precision farming for improved crop yields and resource optimization

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

Each label above carries the instrument and the version that produced it. How each classification is reached.

Evidence

Kortex hosts no documents. Evidence is an outbound link to the authority that holds it.

No outbound evidence link is recorded for this activity. The record below states which source it came from and when it was last read.

Provenance

Which source system this record came from, how many source rows were resolved into it, and when each was last read.

Source rows resolved into this record
1

Each record carries the date Kortex last read it from its source system. That is a freshness date and not a verification: Kortex records what its sources say and when it read them, and it does not check those statements against any external authority. No claim on this site is described as verified, because none is.

Citing this record

This URL is stable. A record’s permalink is frozen when it is published and is not regenerated if its title is later corrected.

KIIT Deemed to be University. “Artificial Cognition for Applications in Smart Agriculture”. Kortex.

Explore the full record