A team of scientists in Austria has created a new artificial intelligence (AI) program to speed up their research. It automatizes the analysis of huge numbers of plant images. JStor Daily brought this interesting topic to our attention in their article, “Botanists Use Machine Learning to Accelerate Research.”
The study of plants involves identifying both their genotype and their phenotype. Accessing the genomic sequence of an organism is a fundamental part of the study of biology. Doing this faster and with better accuracy allows researchers to make connections between a certain phenotype, such as height or color, and the genes responsible for it.
ARADEEPOPSIS uses semantic segmentation of top-view images to classify leaf tissue into three categories: healthy, anthocyanin rich and senescent. ARADEEPOPSIS is deployable on most operating systems and high-performance computing environments and can be used independently of bioinformatics expertise and resources.
A controlled vocabulary is needed to ensure that the machine-assisted or fully automated indexing is comprehensive, regardless of what you are indexing. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies to make their information findable.
Melody K. Smith
Sponsored by Access Innovations, changing search to found.
