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Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture
Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 25× · AI/ML
Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture
Summary
Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture is a scholarly article[1].
Key Facts
Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable 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). Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture. Retrieved May 24, 2026, from https://4ort.xyz/entity/weed-resistance-assessment-through-airborne-multimodal-data-fusion-and-deep-learning-a-novel-approach-towards-sustainabl
MLA“Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weed-resistance-assessment-through-airborne-multimodal-data-fusion-and-deep-learning-a-novel-approach-towards-sustainabl.
BibTeX@misc{4ortxyz_weed-resistance-assessment-through-airborne-multimodal-data-fusion-and-deep-learning-a-novel-approach-towards-sustainabl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture}}, year = {2026}, url = {https://4ort.xyz/entity/weed-resistance-assessment-through-airborne-multimodal-data-fusion-and-deep-learning-a-novel-approach-towards-sustainabl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture — https://4ort.xyz/entity/weed-resistance-assessment-through-airborne-multimodal-data-fusion-and-deep-learning-a-novel-approach-towards-sustainabl (retrieved 2026-05-24)
