Related references
Note: Only part of the references are listed.A Deep Learning-Based Phenotypic Analysis of Rice Root Distribution from Field Images
S. Teramoto et al.
PLANT PHENOMICS (2020)
SegRoot: A high throughput segmentation method for root image analysis
Tao Wang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Classifiers and their Metrics Quantified
J. B. Brown
MOLECULAR INFORMATICS (2018)
Image analysis procedure for the optical scanning of fine-root dynamics: errors depending on the observer and root-viewing window size
Tomonori Kume et al.
TREE PHYSIOLOGY (2018)
Building a better foundation: improving root-trait measurements to understand and model plant and ecosystem processes
M. Luke McCormack et al.
NEW PHYTOLOGIST (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Impacts of fine root turnover on forest NPP and soil C sequestration potential
R Matamala et al.
SCIENCE (2003)