Researchers developed an AI-based software that can analyze RNA sequencing (RNA-Seq) data in various organisms like plants and livestock. The software can be used to address many issues encountered in agriculture.
Compared to DNA, RNA-Seq data offers more comprehensive information, which includes the environmental factors in which the organism lives. Using the software, biomarkers can also be identified to determine physiological processes, pathological processes, and diseases that are harmful to an organism.
In agriculture, the technology helps people precisely choose the ideal varieties for certain places and conditions in order to have greater yields and a shorter product development timeline. The tech's predictive modeling can also help with gene editing, breeding, crop protection, and water use efficiency.