Publication2025
Quantifying the Impact of Climate Change on Agricultural Yield in Odisha Using LSTM and Random Forest Models
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing
- Published
- 1 January 2025
- DOI
- 10.1109/icoicc64033.2025.11052017
- Scopus ID
- 105012104929
- Authors
- 7
- 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
2.4 Ensure sustainable food production systems and resilient agricultural practices
LSTM and Random Forest models quantify climate change impact on crop yields across major crops in Odisha, addressing agricultural adaptation to climate variability.
- 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
13.1 Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters
Machine learning prediction models demonstrate climate change impacts on agricultural productivity for informed climate adaptation planning.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Climate-sensitive region analysis supports climate resilience and sustainable agriculture planning in India.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Quantifying the Impact of Climate Change on Agricultural Yield in Odisha Using LSTM and Random Forest Models”. Kortex.