Publications

Scientific papers on application cases for LemnaTec technologies

Applications of LemnaTec hard- and software in plant phenotyping, seedling assessments, ecotoxicology, and more are reported in hundreds of publications. Scientific papers describe application cases for imaging and image processing with many plant species, but also with non-plant organisms.

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  • Cao, Yongrong; Tian, Dongmei; Tang, Zhixin; Liu, Xiaonan; Hu, Weijuan; Zhang, Zhang; Song, Shuhui (2024)
    OPIA: an open archive of plant images and related phenotypic traits
    Nucleic Acids Res - 52(D1) D1530-D1537, DOI: 10.1093/nar/gkad975

  • Khan, Nazifa Azam; Cieslak, Mikolaj; McQuillan, Ian (2024)
    Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
    - () , DOI: 10.48550/arXiv.2404.05128

  • Di Cola, Vincenzo Schiano; Cangemi, Mariachiara; Scala, Simone; Summerer, Stephan; Monti, Maurilia Maria; Loreto, Francesco; Cuomo, Salvatore (2024)
    Exploratory Data Analysis and Supervised Learning in Plant Phenotyping Studies
    Communications in Applied and Industrial Mathematics - 15(2) 69-90, DOI: 10.2478/caim-2024-0014

  • Cardellicchio, A.; Solimani, F.; Dimauro, G.; Summerer, S.; Renò, V. (2024)
    Patch-based probabilistic identification of plant roots using convolutional neural networks
    Pattern Recognition Letters - 183() 125–132, DOI: 10.1016/j.patrec.2024.05.010

  • Evershed, David; Durkan, Eamon J.; Hasler, Rachel; Corke, Fiona; Doonan, John H.; Howarth, Catherine J. (2024)
    Critical Evaluation of the Cgrain Value™ as a Tool for Rapid Morphometric Phenotyping of Husked Oat (Avena sativa L.) Grains
    Seeds - 3(3) 436–455, DOI: 10.3390/seeds3030030

  • Obare, Dominic; Muraya, Moses; Njoroge, Gladys (2024)
    Advancing Statistical Methodologies for Composite Phenotype Analysis in Genome-Wide Association Studies
    Asian Journal of Probability and Statistics - 26(12) 213–233, DOI: 10.9734/ajpas/2024/v26i12694

  • Genangeli, Andrea; Avola, Giovanni; Bindi, Marco; Cantini, Claudio; Cellini, Francesco; Riggi, Ezio; Gioli, Beniamino (2023)
    A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera
    Sensors - 23(24) , DOI: 10.3390/s23249685

  • Singh, Biswabiplab; Kumar, Sudhir; Elangovan, Allimuthu; Vasht, Devendra; Arya, Sunny; Duc, Nguyen Trung; Swami, Pooja; Pawar, Godawari Shivaji; Raju, Dhandapani; Krishna, Hari; Sathee, Lekshmy; Dalal, Monika; Sahoo, Rabi Narayan; Chinnusamy, Viswanathan (2023)
    Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches
    Frontiers in Plant Science - 14() 1214801, DOI: 10.3389/fpls.2023.1214801

  • Arora, Alka; Misra, Tanuj; Kumar, Mohit; Marwaha, Sudeep; Kumar, Sudhir; Chinnusamy, Viswanathan (2023)
    Computer Vision Approaches for Plant Phenotypic Parameter Determination
    - 121() 263–270, DOI: 10.1007/978-981-99-0577-5_13

  • Reena, Reena; Doonan, John; Corke, Fiona; Williams, Kevin; Fry, Ellen; Zhang, Huaizhong; Liu, Yonghuai (2023)
    Exploring Open Source Photogrammetry and Deep Learningtechniques for Wheat Plant Phenotyping
    - () , DOI: 10.2139/ssrn.4583977