Publication2018
Performance Evaluation of Pest Detection Techniques via Image Processing in Agriculture
The record
- Type
- Publication
- Date
- 1 October 2018
- Level
- National
- Journal
- 2018 International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2018
- Published
- 1 October 2018
- DOI
- 10.1109/aespc44649.2018.9033173
- Scopus ID
- 85083074572
- Authors
- 2
- Open access
- No
- Citations
- 1
- 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
2.3 Double the agricultural productivity and incomes of small-scale food producers
Image processing techniques (ROI, RDI, k-mean clustering) for automatic pest detection from agricultural images improving crop protection and productivity
- 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
Computer vision methodology advancing agricultural image analysis and automated pest identification research innovation
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.1 Agriculture and the rural economy
Agricultural pest detection technology supporting precision agriculture and sustainable crop management for improved yields
- 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. “Performance Evaluation of Pest Detection Techniques via Image Processing in Agriculture”. Kortex.