"The world is facing the loss of crop yields because of climate changes, insects, and more. The identification of metabolic pathways that helps the plant deal with such problems will allow farmers to grow significantly stronger crops," the study said.
The researchers used machine learning techniques, in which systems learn to identify patterns and make decisions in conjunction with correlation-based network analysis.
This analysis illustrates the connection between the molecular components and the knowledge gained in basic chemistry.
Thus, the researchers collected data on known metabolic pathways from public databases and built correlation-based networks of tomato metabolites.