Illustration showing a human brain in the background representing biological neural networks, overlaid with an artificial neural network model in the foreground. Input nodes represent combined plant stress factors, such as fungal infection and waterlogging, which are integrated through interconnected layers to predict plant traits. The output highlights predicted plant height, demonstrating how machine learning models can analyze complex stress interactions and their effects on plant growth.
An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants
New in #AppsPlantSci by Piyush Priya, @rimchaudhury15.bsky.social, Senthil-Kumar, et al
doi.org/10.1002/aps3... #botany #deeplearning #machinelearning #plantphenomics #plantstress
