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Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach
Research article (Big Data Research, 2024) · cited 40× · AI/ML
Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach
Summary
Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach is a scholarly article[1].
Key Facts
Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/utilizing-convolutional-neural-networks-cnn-and-u-net-architecture-for-precise-crop-and-weed-segmentation-in-agricultura
MLA“Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/utilizing-convolutional-neural-networks-cnn-and-u-net-architecture-for-precise-crop-and-weed-segmentation-in-agricultura.
BibTeX@misc{4ortxyz_utilizing-convolutional-neural-networks-cnn-and-u-net-architecture-for-precise-crop-and-weed-segmentation-in-agricultura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/utilizing-convolutional-neural-networks-cnn-and-u-net-architecture-for-precise-crop-and-weed-segmentation-in-agricultura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach — https://4ort.xyz/entity/utilizing-convolutional-neural-networks-cnn-and-u-net-architecture-for-precise-crop-and-weed-segmentation-in-agricultura (retrieved 2026-05-24)
