Publication2025
Artificial Intelligence and Machine Learning in Agriculture: Novel Techniques, Implementation Strategies, and Application
- Zero Hunger
- Industry, Innovation and Infrastructure
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Computational Intelligence and Image Processing in Agriculture Applications and Innovations
- Pages
- 55-72
- Published
- 1 January 2025
- DOI
- 10.1002/9781394320905.ch04
- Scopus ID
- 105027505176
- Authors
- 2
- Open access
- No
- Citations
- 1
- 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
2.3 Double the agricultural productivity and incomes of small-scale food producers
Comprehensive review of AI and ML applications across precision agriculture, crop management, livestock monitoring and supply chain optimization directly increases agricultural 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Advances research capacity in agricultural technology through novel AI/ML techniques for sensors, UAVs, autonomous systems and predictive modeling in farming operations.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 2 label. Comprehensive review of AI and ML applications across precision agriculture, crop management, livestock monitoring and supply chain optimization directly increases agricultural productivity.
- 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.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Artificial Intelligence and Machine Learning in Agriculture: Novel Techniques, Implementation Strategies, and Application”. Kortex.