Science Score: 31.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • .zenodo.json file
  • DOI references
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  • Academic email domains
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    Low similarity (2.3%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: bbalage
  • Language: PostScript
  • Default Branch: master
  • Size: 13.7 MB
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  • Watchers: 1
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Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme Citation

README.md

PSAIE 2022. Grapevine

This repository contains the LaTeX codes for a publication I am preparing for the PSAIE (Production Systems and Information Engineering) paper. The main subject of the publication is creating new data for neural networks. The subject of the dataset is grapevines, more specifically grapevine pruning.

Owner

  • Name: Bolyki Balázs
  • Login: bbalage
  • Kind: user

Citation (citations.bib)

@article{botterill2017robot,
  title     = {A robot system for pruning grape vines},
  author    = {Botterill, Tom and Paulin, Scott and Green, Richard and Williams, Samuel and Lin, Jessica and Saxton, Valerie and Mills, Steven and Chen, XiaoQi and Corbett-Davies, Sam},
  journal   = {Journal of Field Robotics},
  volume    = {34},
  number    = {6},
  pages     = {1100--1122},
  year      = {2017},
  publisher = {Wiley Online Library}
}
@article{fernandes2021grapevine,
  title   = {Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentation},
  author  = {Fernandes, Miguel and Scaldaferri, Antonello and Fiameni, Giuseppe and Teng, Tao and Gatti, Matteo and Poni, Stefano and Semini, Claudio and Caldwell, Darwin and Chen, Fei},
  journal = {arXiv preprint arXiv:2106.04208},
  year    = {2021}
}
@inproceedings{katyara2020reproducible,
  title        = {Reproducible pruning system on dynamic natural plants for field agricultural robots},
  author       = {Katyara, Sunny and Ficuciello, Fanny and Caldwell, Darwin G and Chen, Fei and Siciliano, Bruno},
  booktitle    = {International Workshop on Human-Friendly Robotics},
  pages        = {1--15},
  year         = {2020},
  organization = {Springer}
}
@software{glenn_jocher_2021_5563715,
  author    = {Glenn Jocher and
               Alex Stoken and
               Ayush Chaurasia and
               Jirka Borovec and
               NanoCode012 and
               TaoXie and
               Yonghye Kwon and
               Kalen Michael and
               Liu Changyu and
               Jiacong Fang and
               Abhiram V and
               Laughing and
               tkianai and
               yxNONG and
               Piotr Skalski and
               Adam Hogan and
               Jebastin Nadar and
               imyhxy and
               Lorenzo Mammana and
               AlexWang1900 and
               Cristi Fati and
               Diego Montes and
               Jan Hajek and
               Laurentiu Diaconu and
               Mai Thanh Minh and
               Marc and
               albinxavi and
               fatih and
               oleg and
               wanghaoyang0106},
  title     = {{ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, 
               Roboflow integration, TensorFlow export, OpenCV
               DNN support}},
  month     = oct,
  year      = 2021,
  publisher = {Zenodo},
  version   = {v6.0},
  doi       = {10.5281/zenodo.5563715},
  url       = {https://doi.org/10.5281/zenodo.5563715}
}
@misc{matterport_maskrcnn_2017,
  title        = {Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow},
  author       = {Waleed Abdulla},
  year         = {2017},
  publisher    = {Github},
  journal      = {GitHub repository},
  howpublished = {https://github.com/matterport/Mask\_RCNN}
}
@inproceedings{liu2016ssd,
  title        = {Ssd: Single shot multibox detector},
  author       = {Liu, Wei and Anguelov, Dragomir and Erhan, Dumitru and Szegedy, Christian and Reed, Scott and Fu, Cheng-Yang and Berg, Alexander C},
  booktitle    = {European conference on computer vision},
  pages        = {21--37},
  year         = {2016},
  organization = {Springer}
}
 @masterthesis{bolyki_2021,
  author = {Balázs, Bolyki},
  title  = {Szőlő alaktani jellemzőinek felismerése mesterséges intelligencia segítségével},
  school = {"Miskolci Egyetem"},
  year   = {2021},
  month  = {november}
}
@article{goesmannai,
  title  = {An AI System for Automatic Grapevine Pruning Decision Making},
  author = {Goesmann, Marvin},
  year   = {2020}
}
@article{fourie2021towards,
  title     = {Towards automated grape vine pruning: Learning by example using recurrent graph neural networks},
  author    = {Fourie, Jaco and Bateman, Christopher and Hsiao, Jeffrey and Pahalawatta, Kapila and Batchelor, Oliver and Misse, Paul Epee and Werner, Armin},
  journal   = {International Journal of Intelligent Systems},
  volume    = {36},
  number    = {2},
  pages     = {715--735},
  year      = {2021},
  publisher = {Wiley Online Library}
}
@inproceedings{white_background_grape,
  author    = {Gao, Ming and Lu, Tien-fu},
  booktitle = {2006 International Conference on Mechatronics and Automation},
  title     = {Image Processing and Analysis for Autonomous Grapevine Pruning},
  year      = {2006},
  volume    = {},
  number    = {},
  pages     = {922-927},
  doi       = {10.1109/ICMA.2006.257748}
}
@article{you2021semantics,
  title   = {Semantics-guided Skeletonization of Sweet Cherry Trees for Robotic Pruning},
  author  = {You, Alexander and Grimm, Cindy and Silwal, Abhisesh and Davidson, Joseph R},
  journal = {arXiv preprint arXiv:2103.02833},
  year    = {2021}
}
@article{chen2021semantic,
  title     = {Semantic segmentation for partially occluded apple trees based on deep learning},
  author    = {Chen, Zijue and Ting, David and Newbury, Rhys and Chen, Chao},
  journal   = {Computers and Electronics in Agriculture},
  volume    = {181},
  pages     = {105952},
  year      = {2021},
  publisher = {Elsevier}
}
@article{santos2020grape,
  title     = {Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association},
  author    = {Santos, Thiago T and de Souza, Leonardo L and dos Santos, Andreza A and Avila, Sandra},
  journal   = {Computers and Electronics in Agriculture},
  volume    = {170},
  pages     = {105247},
  year      = {2020},
  publisher = {Elsevier}
}
@article{hellman2003grapevine,
  title   = {Grapevine structure and function},
  author  = {Hellman, Edward W},
  journal = {Oregon Viticulture. Hellman, EW (Ed.). Oregon State University Press, Corvallis},
  pages   = {5--19},
  year    = {2003}
}
@article{opencv_library,
  author               = {Bradski, G.},
  citeulike-article-id = {2236121},
  journal              = {Dr. Dobb's Journal of Software Tools},
  keywords             = {bibtex-import},
  posted-at            = {2008-01-15 19:21:54},
  priority             = {4},
  title                = {{The OpenCV Library}},
  year                 = {2000}
}
@software{boris_sekachev_2020_4009388,
  author    = {Boris Sekachev and
               Nikita Manovich and
               Maxim Zhiltsov and
               Andrey Zhavoronkov and
               Dmitry Kalinin and
               Ben Hoff and
               TOsmanov and
               Dmitry Kruchinin and
               Artyom Zankevich and
               DmitriySidnev and
               Maksim Markelov and
               Johannes222 and
               Mathis Chenuet and
               a-andre and
               telenachos and
               Aleksandr Melnikov and
               Jijoong Kim and
               Liron Ilouz and
               Nikita Glazov and
               Priya4607 and
               Rush Tehrani and
               Seungwon Jeong and
               Vladimir Skubriev and
               Sebastian Yonekura and
               vugia truong and
               zliang7 and
               lizhming and
               Tritin Truong},
  title     = {opencv/cvat: v1.1.0},
  month     = aug,
  year      = 2020,
  publisher = {Zenodo},
  version   = {v1.1.0},
  doi       = {10.5281/zenodo.4009388},
  url       = {https://doi.org/10.5281/zenodo.4009388}
}

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