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A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications
Research article (Sensors, 2019) · cited 47× · AI/ML
A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications
Summary
A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications is a scholarly article[1].
Key Facts
A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications's Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications — instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-system-for-weeds-and-crops-identificationreaching-over-10-fps-on-raspberry-pi-with-the-usage-of-mobilenets-densenet-an
MLA“A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-system-for-weeds-and-crops-identificationreaching-over-10-fps-on-raspberry-pi-with-the-usage-of-mobilenets-densenet-an.
BibTeX@misc{4ortxyz_a-system-for-weeds-and-crops-identificationreaching-over-10-fps-on-raspberry-pi-with-the-usage-of-mobilenets-densenet-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications}}, year = {2026}, url = {https://4ort.xyz/entity/a-system-for-weeds-and-crops-identificationreaching-over-10-fps-on-raspberry-pi-with-the-usage-of-mobilenets-densenet-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications — https://4ort.xyz/entity/a-system-for-weeds-and-crops-identificationreaching-over-10-fps-on-raspberry-pi-with-the-usage-of-mobilenets-densenet-an (retrieved 2026-05-24)
