A review of 51 papers and 22 datasets finds plant growth modeling moving from static regressions to probabilistic, image-generating models with environmental feedback.
High- throughput physiological phenotyping and screening system for the characterization of plant– environment interactions.The Plant Journal, 89(4):839–850, 2017
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
q-bio.QM 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review
A review of 51 papers and 22 datasets finds plant growth modeling moving from static regressions to probabilistic, image-generating models with environmental feedback.