Home ›
Entities
› academia
› Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024) · cited 24× · AI/ML
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization
Summary
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization is a scholarly article[1].
Key Facts
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization'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). Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/crops-leaf-disease-recognition-from-digital-and-rs-imaging-using-fusion-of-multi-self-attention-rbnet-deep-architectures
MLA“Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crops-leaf-disease-recognition-from-digital-and-rs-imaging-using-fusion-of-multi-self-attention-rbnet-deep-architectures.
BibTeX@misc{4ortxyz_crops-leaf-disease-recognition-from-digital-and-rs-imaging-using-fusion-of-multi-self-attention-rbnet-deep-architectures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization}}, year = {2026}, url = {https://4ort.xyz/entity/crops-leaf-disease-recognition-from-digital-and-rs-imaging-using-fusion-of-multi-self-attention-rbnet-deep-architectures}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization — https://4ort.xyz/entity/crops-leaf-disease-recognition-from-digital-and-rs-imaging-using-fusion-of-multi-self-attention-rbnet-deep-architectures (retrieved 2026-05-24)