Home ›
Entities
› academia
› Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
Research article (Frontiers in Plant Science, 2018) · cited 164× · AI/ML
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
Summary
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms is a scholarly article[1].
Key Facts
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-individual-maize-segmentation-from-terrestrial-lidar-data-using-faster-r-cnn-and-regional-growth-algorithm
MLA“Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-individual-maize-segmentation-from-terrestrial-lidar-data-using-faster-r-cnn-and-regional-growth-algorithm.
BibTeX@misc{4ortxyz_deep-learning-individual-maize-segmentation-from-terrestrial-lidar-data-using-faster-r-cnn-and-regional-growth-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-individual-maize-segmentation-from-terrestrial-lidar-data-using-faster-r-cnn-and-regional-growth-algorithm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms — https://4ort.xyz/entity/deep-learning-individual-maize-segmentation-from-terrestrial-lidar-data-using-faster-r-cnn-and-regional-growth-algorithm (retrieved 2026-05-24)
