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Papers: 10.1038/s41598-019-50480-x

https://doi.org/10.1038/s41598-019-50480-x

Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery

Cited by: 21
Author(s): Wenan Yuan, Nuwan K. Wijewardane, Shawn Jenkins, Geng Bai, Yufeng Ge, George L. Graef
Published: almost 6 years ago

Software Mentions 9

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: Cubist
Rule- And Instance-Based Regression Modeling
Papers that mentioned: 54
Very Likely Science (99)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
Very Likely Science (93)
cran: pls
Partial Least Squares and Principal Component Regression
Papers that mentioned: 137
Very Likely Science (85)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: cubist
A Python package for fitting Quinlan's Cubist regression model.
Papers that mentioned: 8
Very Likely Science (90)
pypi: pls
`pls` is a prettier and powerful `ls` for the pros.
Papers that mentioned: 137
Very Likely Science (65)