Publication2026
Free-living amoebae predation in nutrient-enriched treated wastewater: ecological potential and machine learning-assisted analysis
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Environmental Technology United Kingdom
- Volume
- 47
- Issue
- 20
- Pages
- 2969-2984
- Published
- 1 January 2026
- DOI
- 10.1080/09593330.2026.2709903
- Scopus ID
- 105046762929
- ISSN
- 09593330
- Authors
- 5
- Open access
- No
- Citations
- 0
- 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
6.3 Improve water quality by reducing pollution, eliminating dumping and halving untreated wastewater
Free-living amoebae biocontrol predation on pathogenic bacteria in treated wastewater enables safe irrigation reuse and reduces waterborne pathogen transmission risk.
- 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
YOLOv5 deep learning model development for automated microorganism behavior tracking advances bioremediation monitoring technology and computer vision innovation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Sustainable wastewater treatment combining ecological approaches and AI monitoring supports circular economy and environmental water resource protection.
- 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. “Free-living amoebae predation in nutrient-enriched treated wastewater: ecological potential and machine learning-assisted analysis”. Kortex.