Publication2023
Insect Classification Using Pretrained Deep Neural Networks and Transfer Learning
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Conference Proceedings 2023 IEEE Silchar Subsection Conference Silcon 2023
- Published
- 1 January 2023
- DOI
- 10.1109/silcon59133.2023.10404367
- Scopus ID
- 85185708052
- Authors
- 5
- 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
15 Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Deep learning-based insect classification for biodiversity conservation and ecosystem understanding
- 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
2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture
Transfer learning models for insect pest classification improving agricultural pest management
- 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
Artificial intelligence methodology contribution in computer vision for species recognition
- 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 productivity through AI-enabled pest identification and environmental conservation
- 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. “Insect Classification Using Pretrained Deep Neural Networks and Transfer Learning”. Kortex.