Modelling daily plant growth response to environmental conditions in Chinese solar greenhouse using Bayesian neural network.

Understanding how plants respond to environmental conditions such as temperature, CO, humidity, and light radiation is essential for plant growth. This paper proposes an Artificial Neural Network (ANN) model to predict plant response to environmental conditions to enhance crop production systems that improve plant performance and resource use efficiency (e.g.