Home ›
Entities
› academia
› Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars
Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars
Research article (Journal of Hazardous Materials, 2021) · cited 59× · AI/ML
Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars
Summary
Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars is a scholarly article[1].
Key Facts
Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars'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). Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperspectral-imaging-with-shallow-convolutional-neural-networks-scnn-predicts-the-early-herbicide-stress-in-wheat-culti
MLA“Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperspectral-imaging-with-shallow-convolutional-neural-networks-scnn-predicts-the-early-herbicide-stress-in-wheat-culti.
BibTeX@misc{4ortxyz_hyperspectral-imaging-with-shallow-convolutional-neural-networks-scnn-predicts-the-early-herbicide-stress-in-wheat-culti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars}}, year = {2026}, url = {https://4ort.xyz/entity/hyperspectral-imaging-with-shallow-convolutional-neural-networks-scnn-predicts-the-early-herbicide-stress-in-wheat-culti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars — https://4ort.xyz/entity/hyperspectral-imaging-with-shallow-convolutional-neural-networks-scnn-predicts-the-early-herbicide-stress-in-wheat-culti (retrieved 2026-05-24)
