A novel machine learning-based study using digitized herbarium collections provides insights into the relationship between leaf size and climate across different plant species, and demonstrates the benefit of human...
Tag - machine learning
Alun Salt
Improving crop modeling using machine learning
Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
Rachel Shekar
Machine learning used to identify transcription factor-DNA interactions
Surveying machine learning methods to improve detection of binding sites.
New Leaf Database Could Help Identify Extinct Plants
A new database of leaves promise not only to help identify plants around us, but also to identify plants known only from fossils.
Dale Maylea
Transferring annotation information between species through machine learning
A new machine learning strategy allows genomic knowledge to be transferred from information-rich to information-poor species.
Machine learning can help clear herbarium backlogs & potentially discover new species
Computers can combat the slow pace and shortage of expertise that plagues specimen identification and species discovery.
Erin Zimmerman
Training and high quality images needed for best online annotation of digital specimens
Volunteers produced the most accurate annotations in-person, but both in-person and online volunteers gave good results.
Plant-mSubP: a machine learning tool to predict single- and multi-target protein subcellular localisation
Plant cells are three-dimensional spaces composed of several compartments, each with its own physicochemical environment and function. The subcellular localisation of proteins, the cell’s functional machinery, is very...
William Salter