Classification of Plant Endogenous States Using Machine Learning-Derived Agricultural Indices.

Autor: Koh SS; Temasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore.; Department of Biological Sciences, National University of Singapore, Singapore, Singapore., Dev K; Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., Tan JJ; Temasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore., Teo VX; Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., Zhang S; Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., U S D; Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., Olivo M; Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., Urano D; Temasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore.; Department of Biological Sciences, National University of Singapore, Singapore, Singapore.

Publikováno v: Plant phenomics (Washington, D.C.) [Plant Phenomics] 2023 Jun 27; Vol. 5, pp. 0060. Date of Electronic Publication: 2023 Jun 27 (Print Publication: 2023).