首页|University of Illinois Urbana-Champaign Researcher Focuses on Machine Learning ( Machine learning-enabled computer vision for plant phenotyping: a primer on AI/M L and case study on stomatal patterning)
University of Illinois Urbana-Champaign Researcher Focuses on Machine Learning ( Machine learning-enabled computer vision for plant phenotyping: a primer on AI/M L and case study on stomatal patterning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news originating from the University of Illinois Urbana-Champaign by NewsRx correspondents, research stated, “Artificial intelli gence and machine learning (AI/ML) can be used to automatically analyze large im age datasets.” The news journalists obtained a quote from the research from University of Illin ois Urbana-Champaign: “One valuable application of this approach is estimation o f plant trait data contained within images. Here we review 39 papers that descri be the development and/or application of such models for estimation of stomatal traits from epidermal micrographs. In doing so, we hope to provide plant biologi sts with a foundational understanding of AI/ML and summarize the current capabil ities and limitations of published tools. While most models show human-level per formance for stomatal density (SD) quantification at superhuman speed, they are often likely to be limited in how broadly they can be applied across phenotypic diversity associated with genetic, environmental or developmental variation.”
University of Illinois Urbana-ChampaignComputersCyborgsEmerging TechnologiesMachine Learning
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