Ya Guo News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Estimating photosynthetic quantum yield makes plant phenotyping easy. However, plant samples must be dark-adapted, which is time-consuming and complicates measurement of the ratio of variable to maximum fluorescence (Fv/Fm). A research consortium led by scientists from Jiangnan University has developed an artificial intelligence method, known as least-squares support vector machine model (LSSVM), that makes rapid Fv/Fm calculations without dark adaptation. This high-throughput method saves time, processes complex datasets, and is applicable in the field. ....

Zhao Tang , Qian Xia , United States , Urbana Champaign , Lijiang Fu , Ya Guo , Department Of Plant Biology , Method Of Research , University Of Illinois At Urbana Champaign , Department Of Biochemistry , University Of Missouri , University Of Columbia , Department Of Biomedical , Jiangnan University , University Of Illinois , Illinois Urbana Champaign , Key Laboratory , Advanced Process Control , Light Industry , Chemical Engineering , Quantitative Biology , Plant Biology , Dark Adaptation ,