Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology

Research article (Journal of Food Measurement & Characterization, 2021) · cited 44× · AI/ML
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Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology

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Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology is a scholarly article[1].

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  • Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology. Retrieved May 24, 2026, from https://4ort.xyz/entity/fruit-maturity-and-location-identification-of-beef-tomato-using-r-cnn-and-binocular-imaging-technology
MLA “Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fruit-maturity-and-location-identification-of-beef-tomato-using-r-cnn-and-binocular-imaging-technology.
BibTeX @misc{4ortxyz_fruit-maturity-and-location-identification-of-beef-tomato-using-r-cnn-and-binocular-imaging-technology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology}}, year = {2026}, url = {https://4ort.xyz/entity/fruit-maturity-and-location-identification-of-beef-tomato-using-r-cnn-and-binocular-imaging-technology}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology — https://4ort.xyz/entity/fruit-maturity-and-location-identification-of-beef-tomato-using-r-cnn-and-binocular-imaging-technology (retrieved 2026-05-24)

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