Home ›
Entities
› academia
› Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Research article (Remote Sensing in Ecology and Conservation, 2020) · cited 144× · AI/ML
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Summary
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery is a scholarly article[1].
Key Facts
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery'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). Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-networks-accurately-predict-cover-fractions-of-plant-species-and-communities-in-unmanned-aerial-veh
MLA“Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-networks-accurately-predict-cover-fractions-of-plant-species-and-communities-in-unmanned-aerial-veh.
BibTeX@misc{4ortxyz_convolutional-neural-networks-accurately-predict-cover-fractions-of-plant-species-and-communities-in-unmanned-aerial-veh_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-networks-accurately-predict-cover-fractions-of-plant-species-and-communities-in-unmanned-aerial-veh}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery — https://4ort.xyz/entity/convolutional-neural-networks-accurately-predict-cover-fractions-of-plant-species-and-communities-in-unmanned-aerial-veh (retrieved 2026-05-24)