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Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2025) · cited 15× · AI/ML
Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame
Summary
Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame is a scholarly article[1].
Key Facts
Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame. Retrieved May 24, 2026, from https://4ort.xyz/entity/multimodal-ensemble-of-uav-borne-hyperspectral-thermal-and-rgb-imagery-to-identify-combined-nitrogen-and-water-deficienc
MLA“Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multimodal-ensemble-of-uav-borne-hyperspectral-thermal-and-rgb-imagery-to-identify-combined-nitrogen-and-water-deficienc.
BibTeX@misc{4ortxyz_multimodal-ensemble-of-uav-borne-hyperspectral-thermal-and-rgb-imagery-to-identify-combined-nitrogen-and-water-deficienc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame}}, year = {2026}, url = {https://4ort.xyz/entity/multimodal-ensemble-of-uav-borne-hyperspectral-thermal-and-rgb-imagery-to-identify-combined-nitrogen-and-water-deficienc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multimodal ensemble of UAV-borne hyperspectral, thermal, and RGB imagery to identify combined nitrogen and water deficiencies in field-grown sesame — https://4ort.xyz/entity/multimodal-ensemble-of-uav-borne-hyperspectral-thermal-and-rgb-imagery-to-identify-combined-nitrogen-and-water-deficienc (retrieved 2026-05-24)
