Home ›
Entities
› academia
› Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China
Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China
Research article (Water Science & Technology Water Supply, 2021) · cited 25× · AI/ML
Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China
Summary
Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China is a scholarly article[1].
Key Facts
Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China'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). Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-deep-learning-with-several-typical-methods-in-prediction-of-assessing-chlorophyll-a-by-remote-sensing-a-case-s
MLA“Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-deep-learning-with-several-typical-methods-in-prediction-of-assessing-chlorophyll-a-by-remote-sensing-a-case-s.
BibTeX@misc{4ortxyz_comparing-deep-learning-with-several-typical-methods-in-prediction-of-assessing-chlorophyll-a-by-remote-sensing-a-case-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-deep-learning-with-several-typical-methods-in-prediction-of-assessing-chlorophyll-a-by-remote-sensing-a-case-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China — https://4ort.xyz/entity/comparing-deep-learning-with-several-typical-methods-in-prediction-of-assessing-chlorophyll-a-by-remote-sensing-a-case-s (retrieved 2026-05-24)
