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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  • Li, Zhe; Mu, Jinhu; Du, Yan; Liu, Xiao; Yu, Lixia; Ding, Jianing; Long, Jing; Chen, Jingmin; Zhou, Libin (2025)
    Advancing radiation-induced mutant screening through high-throughput technology: a preliminary evaluation of mutant screening in Arabidopsis thaliana
    Plant methods - 21(1) , DOI: 10.1186/s13007-025-01367-8

  • Raut, Dnyaneshwar; Gadakh, Sharad; Kute, Nandkumar; Blesseena, A.; Gangarao, N. V. P. R.; Siddique, Kadambot H. M.; Rane, Jagadish (2025)
    Identifying chickpea (Cicer arietinum L.) genotypes rich in ascorbic acid as a source of drought tolerance
    Scientific reports - 15(1) , DOI: 10.1038/s41598-024-76394-x

  • 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

  • Iqbal, Nasir; Brien, Chris; Jewell, Nathaniel; Berger, Bettina; Zhou, Yi; Denison, R. Ford; Denton, Matthew D. (2025)
    Chickpea displays a temporal growth response to Mesorhizobium strains under well-watered and drought conditions
    Physiologia Plantarum - 117(1) , DOI: 10.1111/ppl.70041

  • Calabritto, Maria; Mininni, Alba N.; Di Biase, Roberto; Petrozza, Angelo; Summerer, Stephan; Cellini, Francesco; Dichio, Bartolomeo (2025)
    Physiological and image-based phenotyping assessment of waterlogging responses of three kiwifruit rootstocks and grafting combinations
    Frontiers in Plant Science - 16() , DOI: 10.3389/fpls.2025.1499432

  • Hobby, David; Tong, Hao; Heuermann, Marc; Mbebi, Alain J.; Laitinen, Roosa A. E.; Dell'Acqua, Matteo; Altmann, Thomas; Nikoloski, Zoran (2025)
    Predicting plant trait dynamics from genetic markers
    Nature Plants - 11(5) , DOI: 10.1038/s41477-025-01986-y

  • Genze, Nikita; Vahl, Wouter K.; Groth, Jennifer; Wirth, Maximilian; Grieb, Michael; Grimm, Dominik G. (2024)
    Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision
    Scientific Data - 11(1) 109, DOI: 10.1038/s41597-024-02945-6

  • Casas-Flores, Sergio; Rosendo-Vargas, Maria Montserrat; Ávila-Castillo, Valeria (2024)
    The Arabidopsis Dcl3, Ago9, DNA Methyltransferases and Dcl1 are Required for Triggering the Systemic Resistance Mediated by Trichoderma Atroviride
    - () , DOI: 10.2139/ssrn.4835006

  • Singh, Biswabiplab; Elangovan, Allimuthu; Kumar, Sudhir; Arya, Sunny; Raju, Dhandapani; Harikrishna; Dalal, Monika; Sahoo, Rabi Narayan; Chinnusamy, Viswanathan (2024)
    Non-destructive chlorophyll prediction by machine learning techniques using RGB-based vegetation indices in wheat
    Plant Physiology Reports - 29(4) 836–847, DOI: 10.1007/s40502-024-00825-0

  • 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