Home ›
Entities
› academia
› Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir
Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir
Research article (Frontiers in Environmental Science, 2022) · cited 22× · AI/ML
Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir
Summary
Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir is a scholarly article[1].
Key Facts
Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir. Retrieved May 24, 2026, from https://4ort.xyz/entity/water-quality-monitoring-and-assessment-based-on-cruise-monitoring-remote-sensing-and-deep-learning-a-case-study-of-qing
MLA“Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/water-quality-monitoring-and-assessment-based-on-cruise-monitoring-remote-sensing-and-deep-learning-a-case-study-of-qing.
BibTeX@misc{4ortxyz_water-quality-monitoring-and-assessment-based-on-cruise-monitoring-remote-sensing-and-deep-learning-a-case-study-of-qing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir}}, year = {2026}, url = {https://4ort.xyz/entity/water-quality-monitoring-and-assessment-based-on-cruise-monitoring-remote-sensing-and-deep-learning-a-case-study-of-qing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir — https://4ort.xyz/entity/water-quality-monitoring-and-assessment-based-on-cruise-monitoring-remote-sensing-and-deep-learning-a-case-study-of-qing (retrieved 2026-05-24)
