Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice

Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice

Phenomics technologies have advanced rapidly in the recent past for precision phenotyping of diverse crop plants. High-throughput phenotyping using imaging sensors has been proven to fetch more informative data from a large population of genotypes than the traditional destructive phenotyping methodo...

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Bibliographic Details
Main Authors: Allimuthu Elangovan, Nguyen Trung Duc, Dhandapani Raju, Sudhir Kumar, Biswabiplab Singh, Chandrapal Vishwakarma, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Monika Dalal, Padmini Swain, Sushanta Kumar Dash, Madan Pal Singh, Rabi Narayan Sahoo, Govindaraj Kamalam Dinesh, Poonam Gupta, Viswanathan Chinnusamy
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Agriculture
Subjects:
Phenomics
machine learning models
Near Infrared Sensor
projected shoot area
RGB
Online Access:https://www.mdpi.com/2077-0472/13/4/852

Internet

https://www.mdpi.com/2077-0472/13/4/852

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