Page 2 - Qian Xia 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 tangQian xiaUnited statesUrbana champaignLijiang fuYa guoDepartment of plant biologyMethod of researchUniversity of illinois at urbana champaignDepartment of biochemistryUniversity of missouriUniversity of columbiaDepartment of biomedicalJiangnan universityUniversity of illinoisIllinois urbana champaign