Home ›
Entities
› academia
› Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing
Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing
Research article (Crop Protection, 2025) · cited 17× · AI/ML
Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing
Summary
Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing is a scholarly article[1].
Key Facts
Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing'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). Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-architecture-for-crop-detection-and-leaf-disease-detection-with-improved-u-net-segmentation-model-and-image-proce
MLA“Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-architecture-for-crop-detection-and-leaf-disease-detection-with-improved-u-net-segmentation-model-and-image-proce.
BibTeX@misc{4ortxyz_hybrid-architecture-for-crop-detection-and-leaf-disease-detection-with-improved-u-net-segmentation-model-and-image-proce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-architecture-for-crop-detection-and-leaf-disease-detection-with-improved-u-net-segmentation-model-and-image-proce}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid architecture for crop detection and leaf disease detection with improved U-Net segmentation model and image processing — https://4ort.xyz/entity/hybrid-architecture-for-crop-detection-and-leaf-disease-detection-with-improved-u-net-segmentation-model-and-image-proce (retrieved 2026-05-24)