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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  • Hong, Joon Ki; BAEK, JeongHo; Kim, Jae Young; Kim, Song Lim; Lyu, Jae Il; Kang, Sang-Ho; Song, Jiseon; Kim, Nyunhee; An, Eunsook; Lee, Hyun-Sook; Kim, Kyung-hwan; Chung, Yong Suk; Mansoor, Sheikh (2025)
    High Throughput Phenotyping Using Automated Imaging System Reveals the Relationship between Seed Yield and Agronomic Traits in Korean Rice Cultivars
    Journal of Plant Physiology - () , DOI: 10.1016/j.jplph.2025.154544

  • 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

  • Jang, Yoon-Hee; Kim, Song Lim; BAEK, JeongHo; Lee, Hongseok; Lee, Chaewon; Choi, Inchan; Kim, Nyunhee; Kim, Tae-Ho; Lee, Ye-Ji; Ji, Hyeonso; Kim, Kyung-hwan (2024)
    Application of Image-Based Phenotyping for QTL Identification of Tiller Angle in Rice (Oryza sativa L.)
    Plants - 13(23) , DOI: 10.3390/plants13233288

  • Elangovan, Allimuthu; Duc, Nguyen Trung; Raju, Dhandapani; Kumar, Sudhir; Singh, Biswabiplab; Vishwakarma, Chandrapal; Gopala Krishnan, Subbaiyan; Ellur, Ranjith Kumar; Dalal, Monika; Swain, Padmini; Dash, Sushanta Kumar; Singh, Madan Pal; Sahoo, Rabi Narayan; Dinesh, Govindaraj Kamalam; Gupta, Poonam; Chinnusamy, Viswanathan (2023)
    Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice
    Agriculture - 13(4) 852, DOI: 10.3390/agriculture13040852

  • Tang, Zhixin; Chen, Zhuo; Gao, Yuan; Xue, Ruxian; Geng, Zedong; Bu, Qingyun; Wang, Yanyan; Chen, Xiaoqian; Jiang, Yuqiang; Chen, Fan; Yang, Wanneng; Hu, Weijuan (2023)
    A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period
    Plant phenomics (Washington, D.C.) - 5() 0058, DOI: 10.34133/plantphenomics.0058

  • Chairunisa; Rachmat, Agus; Perdani, Ambar Yuswi; Sulistyowati, Yuli; Herliana, Lina; Roy, Stuart J. (2023)
    Image-based growth evaluation and K+/Na+ ratio of transgenic rice lines harboring AtAVP1 gene under salinity stress
    - () 060015, DOI: 10.1063/5.0182839

  • Priya, Himani; Dhar, Dolly W.; Singh, Ranjit; Kumar, Sudhir; Dhandapani, Raju; Pandey, Renu; Govindasamy, Venkadasamy; Kumar, Arun (2022)
    Co-cultivation Approach to Decipher the Influence of Nitrogen-Fixing Cyanobacterium on Growth and N Uptake in Rice Crop
    Current Microbiology - 79(2) 53, DOI: 10.1007/s00284-021-02732-1

  • Pabuayon, Isaiah Catalino M.; Pabuayon, Irish Lorraine B.; Singh, Rakesh Kumar; Ritchie, Glen L.; los Reyes, Benildo G. de (2022)
    Applicability of hyperspectral imaging during salinity stress in rice for tracking Na+ and K+ levels in planta
    PLoS ONE - 17(7) e0270931, DOI: 10.1371/journal.pone.0270931

  • Tariq, Muhammad; Rehman, Muhammad Habib Ur; Yang, Feng Ling; Khalid, Muhammad Hayder Bin; Raza, Muhammad Ali; Hassan, Muhammad Jawad; Meraj, Tehseen Ahmad; Khan, Ahsin; Din, Atta Mohi Ud; Iqbal, Nasir; Kheir, Ahmed M. S.; Ahmad, Shakeel (2022)
    Rice Phenotyping
    Modern Techniques ofRice Crop Production - () 151–164, DOI: 10.1007/978-981-16-4955-4_11

  • Vishal, Mukesh Kumar; Saluja, Rohit; Aggrawal, Devarshi; Banerjee, Biplab; Raju, Dhandapani; Kumar, Sudhir; Chinnusamy, Viswanathan; Sahoo, Rabi Narayan; Adinarayana, Jagarlapudi (2022)
    Leaf Count Aided Novel Framework for Rice (Oryza sativa L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications
    Plants (Basel, Switzerland) - 11(19) , DOI: 10.3390/plants11192663