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Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)
Research article (Computers and Electronics in Agriculture, 2018) · cited 137× · AI/ML
Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)
Summary
Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN) is a scholarly article[1].
Key Facts
Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)'s 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). Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN). Retrieved May 24, 2026, from https://4ort.xyz/entity/branch-detection-for-apple-trees-trained-in-fruiting-wall-architecture-using-depth-features-and-regions-convolutional-ne
MLA“Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/branch-detection-for-apple-trees-trained-in-fruiting-wall-architecture-using-depth-features-and-regions-convolutional-ne.
BibTeX@misc{4ortxyz_branch-detection-for-apple-trees-trained-in-fruiting-wall-architecture-using-depth-features-and-regions-convolutional-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)}}, year = {2026}, url = {https://4ort.xyz/entity/branch-detection-for-apple-trees-trained-in-fruiting-wall-architecture-using-depth-features-and-regions-convolutional-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN) — https://4ort.xyz/entity/branch-detection-for-apple-trees-trained-in-fruiting-wall-architecture-using-depth-features-and-regions-convolutional-ne (retrieved 2026-05-24)
