Robotics & Machine Learning Daily News2024,Issue(Dec.12) :51-52.

Reports on Plant Diseases and Conditions from University of Southern California (USC) Provide New Insights (Machine Learning-based Identification of General Tra nscriptional Predictors for Plant Disease)

Robotics & Machine Learning Daily News2024,Issue(Dec.12) :51-52.

Reports on Plant Diseases and Conditions from University of Southern California (USC) Provide New Insights (Machine Learning-based Identification of General Tra nscriptional Predictors for Plant Disease)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Plant Diseases and Conditions. According to newsreporting out of Los Angeles, C alifornia, by NewsRx editors, research stated, “This study investigatedthe gene ralizability of Arabidopsis thaliana immune responses across diverse pathogens, including Botrytiscinerea, Sclerotinia sclerotiorum, and Pseudomonas syringae, using a data-driven, machine learning approach.Machine learning models were tra ined to predict disease development from early transcriptionalresponses.”

Key words

Los Angeles/California/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Pla nt Diseases and Conditions/Plant Physiological Phenomena/University of Souther n California (USC)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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