Home ›
Entities
› academia
› Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging
Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging
Research article (Journal of Hazardous Materials, 2024) · cited 21× · AI/ML
Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging
Summary
Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging is a scholarly article[1].
Key Facts
Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging'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). Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/early-detection-of-nicosulfuron-toxicity-and-physiological-prediction-in-maize-using-multi-branch-deep-learning-models-a
MLA“Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/early-detection-of-nicosulfuron-toxicity-and-physiological-prediction-in-maize-using-multi-branch-deep-learning-models-a.
BibTeX@misc{4ortxyz_early-detection-of-nicosulfuron-toxicity-and-physiological-prediction-in-maize-using-multi-branch-deep-learning-models-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging}}, year = {2026}, url = {https://4ort.xyz/entity/early-detection-of-nicosulfuron-toxicity-and-physiological-prediction-in-maize-using-multi-branch-deep-learning-models-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging — https://4ort.xyz/entity/early-detection-of-nicosulfuron-toxicity-and-physiological-prediction-in-maize-using-multi-branch-deep-learning-models-a (retrieved 2026-05-24)
