Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology

Research article (Computers and Electronics in Agriculture, 2023) · cited 68× · AI/ML
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Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology

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Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology. Retrieved May 24, 2026, from https://4ort.xyz/entity/agricultural-weed-identification-in-images-and-videos-by-integrating-optimized-deep-learning-architecture-on-an-edge-com
MLA “Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agricultural-weed-identification-in-images-and-videos-by-integrating-optimized-deep-learning-architecture-on-an-edge-com.
BibTeX @misc{4ortxyz_agricultural-weed-identification-in-images-and-videos-by-integrating-optimized-deep-learning-architecture-on-an-edge-com_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology}}, year = {2026}, url = {https://4ort.xyz/entity/agricultural-weed-identification-in-images-and-videos-by-integrating-optimized-deep-learning-architecture-on-an-edge-com}, note = {Accessed: 2026-05-24}}
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