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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Asıl Yazarlar:	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
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2023-04-01
Seri Bilgileri:	Agriculture
Konular:	Phenomics machine learning models Near Infrared Sensor projected shoot area RGB
Online Erişim:	https://www.mdpi.com/2077-0472/13/4/852
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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