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Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness

Research article (IEEE Access, 2020) · cited 67× · AI/ML
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Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness

Summary

Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness is a scholarly article[1].

Key Facts

  • Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-fuzzy-mask-r-cnn-model-to-automatically-identify-tomato-ripeness
MLA “Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-fuzzy-mask-r-cnn-model-to-automatically-identify-tomato-ripeness.
BibTeX @misc{4ortxyz_using-fuzzy-mask-r-cnn-model-to-automatically-identify-tomato-ripeness_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness}}, year = {2026}, url = {https://4ort.xyz/entity/using-fuzzy-mask-r-cnn-model-to-automatically-identify-tomato-ripeness}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness — https://4ort.xyz/entity/using-fuzzy-mask-r-cnn-model-to-automatically-identify-tomato-ripeness (retrieved 2026-05-24)

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