An improved lightweight network based on deep learning for grape recognition in unstructured environments

Research article (Information Processing in Agriculture, 2023) · cited 21× · AI/ML
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An improved lightweight network based on deep learning for grape recognition in unstructured environments

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An improved lightweight network based on deep learning for grape recognition in unstructured environments is a scholarly article[1].

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  • An improved lightweight network based on deep learning for grape recognition in unstructured environments's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An improved lightweight network based on deep learning for grape recognition in unstructured environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-lightweight-network-based-on-deep-learning-for-grape-recognition-in-unstructured-environments
MLA “An improved lightweight network based on deep learning for grape recognition in unstructured environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-lightweight-network-based-on-deep-learning-for-grape-recognition-in-unstructured-environments.
BibTeX @misc{4ortxyz_an-improved-lightweight-network-based-on-deep-learning-for-grape-recognition-in-unstructured-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An improved lightweight network based on deep learning for grape recognition in unstructured environments}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-lightweight-network-based-on-deep-learning-for-grape-recognition-in-unstructured-environments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An improved lightweight network based on deep learning for grape recognition in unstructured environments — https://4ort.xyz/entity/an-improved-lightweight-network-based-on-deep-learning-for-grape-recognition-in-unstructured-environments (retrieved 2026-05-24)

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