A trick of the light: Optimizing light quality conditions speeds plant growth
Model identifies optimal light conditions to manipulate the circadian clock.
Rachel Shekar
138 posts
Rachel (she/her) is a Founding and Managing Editor of in silico Plants. She has a Master’s Degree in Plant Biology from the University of Illinois. She has over 15 years of academic journal editorial
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Simulating mangrove light interception
3D reconstruction of mangrove tree phyllotaxis from digitized plants yields novel data.
Simulación de la interceptación de la luz en los manglares
La reconstrucción en 3D de la filotaxis de los manglares a base de plantas digitalizadas arroja datos novedosos.
It’s all connected: modeling water potential and plant physiological processes
“As water potential is regarded the best indicator of plant water status, because it is the integrated result of above- and below-ground environmental conditions, it holds promise as a pivotal model variable to which other plant processes respond.”
Modelling ecosystem services of diversified agriculture
Combining modelling approaches to better understand cultivated plant community functioning
Computational model predicts soybean response to climate change
A successful plant model has now been parameterized to include soybean growth under elevated CO2.
Creating visually realistic plant images to train neural networks
An interactive method for creating and calibrating developmental plant models expressed using L-systems
Deep learning techniques used to predict missing data
A new model produces 3D trees that are close to reality using predicted data.
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