Publication2023
Crop Yield Forecasting with Precise Machine Learning
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 537 LNNS
- Pages
- 445-453
- Published
- 1 January 2023
- DOI
- 10.1007/978-981-99-3010-4_38
- Scopus ID
- 85174739413
- ISSN
- 23673370
- Authors
- 5
- Open access
- No
- Citations
- 37
- 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
Machine learning algorithm for crop yield forecasting supporting farmer decision-making on agricultural productivity based on weather conditions
- 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
Precision farming technology development using random forest algorithm enabling data-driven agricultural productivity improvement
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.1 Agriculture and the rural economy
Rural agricultural economy support through crop prediction enabling better resource management and productivity planning
- 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. “Crop Yield Forecasting with Precise Machine Learning”. Kortex.