Machine learning helps plant science turn over a new leaf
https://www.sciencedaily.com/releases/2019/10/191007164349.htm
"What we've done is develop a suite of tools that helps address some common phenotyping challenges," says Saket Navlakha, an associate professor in Salk's Integrative Biology Laboratory and Pioneer Fund Developmental Chair.
A plant's environment helps dictate its structure, which is related to its health. Scientists trying to understand plant growth, engineer more resilient plants or boost crop production often want to measure detailed characteristics of a plant's leaves and shoots. To do this phenotyping in a high-throughput way, many researchers use camera systems that take images of each plant from various angles and assemble a three-dimensional model. However, some measurements are hard to take with these stitched-together images.