Publication2025
Climate-Aware Crop Yield Forecasting Using Hybrid Statistical-Machine Learning Methods: A Case Study of Odisha, India
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025
- Published
- 1 January 2025
- DOI
- 10.1109/isac364032.2025.11156337
- Scopus ID
- 105018907440
- Authors
- 3
- 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
2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture
Hybrid ML-statistical framework predicts crop yields accounting for rainfall, temperature, and climate stress in Odisha with stacked ensemble achieving highest R-squared.
- 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 Take urgent action to combat climate change and its impacts
Climate-aware agriculture adaptation using machine learning for regional climate variability and resilience planning.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.1 Agriculture and the rural economy
Climate-resilient sustainable farming practices for rural agricultural livelihoods.
- 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
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Provenance
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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. “Climate-Aware Crop Yield Forecasting Using Hybrid Statistical-Machine Learning Methods: A Case Study of Odisha, India”. Kortex.
