Home ›
Entities
› academia
› Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection
Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection
Research article (Computers and Electronics in Agriculture, 2022) · cited 32× · AI/ML
Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection
Summary
Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection is a scholarly article[1].
Key Facts
Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection'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). Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/moldy-peanuts-identification-based-on-hyperspectral-images-and-point-centered-convolutional-neural-network-combined-with
MLA“Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/moldy-peanuts-identification-based-on-hyperspectral-images-and-point-centered-convolutional-neural-network-combined-with.
BibTeX@misc{4ortxyz_moldy-peanuts-identification-based-on-hyperspectral-images-and-point-centered-convolutional-neural-network-combined-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection}}, year = {2026}, url = {https://4ort.xyz/entity/moldy-peanuts-identification-based-on-hyperspectral-images-and-point-centered-convolutional-neural-network-combined-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection — https://4ort.xyz/entity/moldy-peanuts-identification-based-on-hyperspectral-images-and-point-centered-convolutional-neural-network-combined-with (retrieved 2026-05-24)
