Home ›
Entities
› academia
› Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers
Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers
Research article (Food Control, 2024) · cited 10× · AI/ML
Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers
Summary
Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers is a scholarly article[1].
Key Facts
Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers'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). Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainability-of-deep-convolutional-neural-networks-when-it-comes-to-nir-spectral-data-a-case-study-of-starch-content-e
MLA“Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainability-of-deep-convolutional-neural-networks-when-it-comes-to-nir-spectral-data-a-case-study-of-starch-content-e.
BibTeX@misc{4ortxyz_explainability-of-deep-convolutional-neural-networks-when-it-comes-to-nir-spectral-data-a-case-study-of-starch-content-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers}}, year = {2026}, url = {https://4ort.xyz/entity/explainability-of-deep-convolutional-neural-networks-when-it-comes-to-nir-spectral-data-a-case-study-of-starch-content-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Explainability of deep convolutional neural networks when it comes to NIR spectral data: A case study of starch content estimation in potato tubers — https://4ort.xyz/entity/explainability-of-deep-convolutional-neural-networks-when-it-comes-to-nir-spectral-data-a-case-study-of-starch-content-e (retrieved 2026-05-24)