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Plant Vision

  1. summary image

    Multi-Modality Imagery Database for Plant Phenotyping

    Jeffrey A. Cruz, Xi Yin, Xiaoming Liu, Saif M. Imran, Daniel D. Morris, David M. Kramer, Jin Chen

    We have collected a multi-modality plant imagery database named “MSU-PID” including two types of plants: Arabidopsis and bean. It is captured using four types of imaging sensors:fluorescence, infrared(IR), RGB color, and depth. The imaging setup and the variety of manual labels allow MSU-PID to be used for a ...

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    Keywords: Plant Vision, Database, Application, Multi-Modality

  2. summary image

    On developing and enhancing plant-level disease rating systems in real fields

    Yousef Atoum, Muhammad Jamal Afridi, Xiaoming Liu, J. Mitchell McGrath, Linda E. Hanson

    Cercospora leaf spot (CLS) is one of the most serious diseases of sugar beet worldwide, and if uncontrolled, causes nearly complete defoliation and loss of revenue for beet growers. The beet sugar industry continuously seeks CLS-resistant sugar beet cultivars as one strategy to combat this disease. Normally human experts manually ...

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    Keywords: Application, Plant Vision

2017

  • Joint Multi-Leaf Segmentation, Alignment, and Tracking from Fluorescence Plant Videos
    Xi Yin, Xiaoming Liu, Jin Chen, David M. Kramer
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 6, pp.1411-1423, , Jul. 2017
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @article{ joint-multi-leaf-segmentation-alignment-and-tracking-from-fluorescence-plant-videos,
      author = { Xi Yin and Xiaoming Liu and Jin Chen and David M. Kramer },
      title = { Joint Multi-Leaf Segmentation, Alignment, and Tracking from Fluorescence Plant Videos },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 40 },
      number = { 6 },
      month = { July },
      year = { 2017 },
      pages = { 1411--1423 },
    }

2016

  • Multi-modality Imagery Database for Plant Phenotyping
    Jeffrey Cruz, Xi Yin, Xiaoming Liu, Saif Imran, Daniel Morris, David Kramer, Jin Chen
    Machine Vision and Applications, Vol. 27, No. 5, pp.735-749, , Jul. 2016 (equal contribution by first two authors)
    Bibtex | PDF | Project Webpage
  • @article{ multi-modality-imagery-database-for-plant-phenotyping,
      author = { Jeffrey Cruz and Xi Yin and Xiaoming Liu and Saif Imran and Daniel Morris and David Kramer and Jin Chen },
      title = { Multi-modality Imagery Database for Plant Phenotyping },
      journal = { Machine Vision and Applications },
      volume = { 27 },
      number = { 5 },
      month = { July },
      year = { 2016 },
      pages = { 735--749 },
    }
  • Leaf Segmentation in Plant Phenotyping: A Collation Study
    Hanno Scharr, Massimo Minervini, Andrew P. French, Christian Klukas, David M. Kramer, Xiaoming Liu, Imanol L. Muntion, Jean-Michel Pape, Gerrit Polder, Danijela Vukadinovic, Xi Yin, Sotirios A. Tsaftaris
    Machine Vision and Application, Vol. [u'27', u'7'], No. 4, pp.585-606, , May. 2016
    Bibtex | PDF | Project Webpage | Code
  • @article{ leaf-segmentation-in-plant-phenotyping-a-collation-study,
      author = { Hanno Scharr and Massimo Minervini and Andrew P. French and Christian Klukas and David M. Kramer and Xiaoming Liu and Imanol L. Muntion and Jean-Michel Pape and Gerrit Polder and Danijela Vukadinovic and Xi Yin and Sotirios A. Tsaftaris },
      title = { Leaf Segmentation in Plant Phenotyping: A Collation Study },
      journal = { Machine Vision and Application },
      volume = { [u'27', u'7'] },
      number = { 4 },
      month = { May },
      year = { 2016 },
      pages = { 585--606 },
    }

2014

  • Multi-Leaf Tracking from Fluorescence Plant Videos
    Xi Yin, Xiaoming Liu, Jin Chen, David M. Kramer
    In Proceedings of IEEE Conference on Image Processing (ICIP 2014), Paris, France, Oct. 2014 (Top 10% Paper Award)
    Bibtex | PDF | Project Webpage
  • @inproceedings{ multi-leaf-tracking-from-fluorescence-plant-videos,
      author = { Xi Yin and Xiaoming Liu and Jin Chen and David M. Kramer },
      title = { Multi-Leaf Tracking from Fluorescence Plant Videos },
      booktitle = { In Proceedings of IEEE Conference on Image Processing },
      address = { Paris, France },
      month = { October },
      year = { 2014 },
    }
  • An Automated System for Plant-level Disease Rating in Real Fields
    Muhammad Jamal Afridi, Xiaoming Liu, J. Mitchell McGrath
    Proc. 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, Aug. 2014 (Oral, Acceptance rate 14%, Best Industry Related Paper Award runner-up)
    Bibtex | PDF | Project Webpage
  • @inproceedings{ an-automated-system-for-plant-level-disease-rating-in-real-fields,
      author = { Muhammad Jamal Afridi and Xiaoming Liu and J. Mitchell McGrath },
      title = { An Automated System for Plant-level Disease Rating in Real Fields },
      booktitle = { Proc. 22nd International Conference on Pattern Recognition },
      address = { Stockholm, Sweden },
      month = { August },
      year = { 2014 },
    }
  • Multi-Leaf Alignment from Fluorescence Plant Images
    Xi Yin, Xiaoming Liu, Jin Chen, David M. Kramer
    Proc. IEEE Winter Conference on Application of Computer Vision (WACV 2014), Steamboat Springs, USA, Mar. 2014 (Best Student Paper Award)
    Bibtex | PDF | Project Webpage
  • @inproceedings{ multi-leaf-alignment-from-fluorescence-plant-images,
      author = { Xi Yin and Xiaoming Liu and Jin Chen and David M. Kramer },
      title = { Multi-Leaf Alignment from Fluorescence Plant Images },
      booktitle = { Proc. IEEE Winter Conference on Application of Computer Vision },
      address = { Steamboat Springs, USA },
      month = { March },
      year = { 2014 },
    }