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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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APA4ort.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 promptAccording 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)