Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches

Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches

IntroductionPhenomics has emerged as important tool to bridge the genotype-phenotype gap. To dissect complex traits such as highly dynamic plant growth, and quantification of its component traits over a different growth phase of plant will immensely help dissect genetic basis of biomass production....

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Main Authors: Biswabiplab Singh, Sudhir Kumar, Allimuthu Elangovan, Devendra Vasht, Sunny Arya, Nguyen Trung Duc, Pooja Swami, Godawari Shivaji Pawar, Dhandapani Raju, Hari Krishna, Lekshmy Sathee, Monika Dalal, Rabi Narayan Sahoo, Viswanathan Chinnusamy
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Plant Science
Subjects:
high-throughput phenotyping (HTP)
RGB image
NIR image
machine learning
i-traits
wheat
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1214801/full

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https://www.frontiersin.org/articles/10.3389/fpls.2023.1214801/full

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