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Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model

Research article (2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2021) · cited 19× · AI/ML
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Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model

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Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/tomato-fruit-maturity-detection-method-based-on-yolov4-and-statistical-color-model
MLA “Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tomato-fruit-maturity-detection-method-based-on-yolov4-and-statistical-color-model.
BibTeX @misc{4ortxyz_tomato-fruit-maturity-detection-method-based-on-yolov4-and-statistical-color-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model}}, year = {2026}, url = {https://4ort.xyz/entity/tomato-fruit-maturity-detection-method-based-on-yolov4-and-statistical-color-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model — https://4ort.xyz/entity/tomato-fruit-maturity-detection-method-based-on-yolov4-and-statistical-color-model (retrieved 2026-05-24)

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