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Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture
Research article (International Journal of Applied Earth Observation and Geoinformation, 2015) · cited 171× · AI/ML
Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture
Summary
Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture is a scholarly article[1].
Key Facts
Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture's instance of is recorded as scholarly article[2].
References
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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). Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-chlorophyll-with-thermal-and-broadband-multispectral-high-resolution-imagery-from-an-unmanned-aerial-system-u
MLA“Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-chlorophyll-with-thermal-and-broadband-multispectral-high-resolution-imagery-from-an-unmanned-aerial-system-u.
BibTeX@misc{4ortxyz_estimating-chlorophyll-with-thermal-and-broadband-multispectral-high-resolution-imagery-from-an-unmanned-aerial-system-u_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-chlorophyll-with-thermal-and-broadband-multispectral-high-resolution-imagery-from-an-unmanned-aerial-system-u}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture — https://4ort.xyz/entity/estimating-chlorophyll-with-thermal-and-broadband-multispectral-high-resolution-imagery-from-an-unmanned-aerial-system-u (retrieved 2026-05-24)
