Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms

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Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms

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Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-destructive-classification-of-maize-seeds-based-on-rgb-and-hyperspectral-data-with-improved-grey-wolf-optimization-a
MLA “Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-destructive-classification-of-maize-seeds-based-on-rgb-and-hyperspectral-data-with-improved-grey-wolf-optimization-a.
BibTeX @misc{4ortxyz_non-destructive-classification-of-maize-seeds-based-on-rgb-and-hyperspectral-data-with-improved-grey-wolf-optimization-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/non-destructive-classification-of-maize-seeds-based-on-rgb-and-hyperspectral-data-with-improved-grey-wolf-optimization-a}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms — https://4ort.xyz/entity/non-destructive-classification-of-maize-seeds-based-on-rgb-and-hyperspectral-data-with-improved-grey-wolf-optimization-a (retrieved 2026-05-24)

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