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...

Full description

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:	Artigo
Language:	Inglês
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
Tags:	Add Tag No Tags, Be the first to tag this record!