Publication2023
Optimized Convolutional Neural Network for Robust Crop/Weed Classification
The record
- Type
- Publication
- Date
- 30 March 2023
- Level
- National
- Journal
- International Journal of Pattern Recognition and Artificial Intelligence
- Volume
- 37
- Issue
- 4
- Published
- 30 March 2023
- DOI
- 10.1142/s021800142359005x
- Scopus ID
- 85150726592
- ISSN
- 02180014
- Authors
- 4
- Open access
- No
- Citations
- 5
- 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
Optimized CNN using hybridized whale and sea lion algorithm achieves robust crop and weed classification for precision agriculture and herbicide management.
- 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
12 Ensure sustainable consumption and production patterns
Precision farming reduces pesticide application and chemical waste through targeted weed identification and control.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.1 Agriculture and the rural economy
Agricultural AI technology advancing crop protection and sustainable farming practices.
- 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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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. “Optimized Convolutional Neural Network for Robust Crop/Weed Classification”. Kortex.