Robotics & Machine Learning Daily News2024,Issue(Oct.11) :119-120.

Studies from Kongju National University Describe New Findings in Machine Learnin g (Predicting Vase Life of Cut Lisianthus Based on Biomass-Related Characteristi cs Using AutoML)

Robotics & Machine Learning Daily News2024,Issue(Oct.11) :119-120.

Studies from Kongju National University Describe New Findings in Machine Learnin g (Predicting Vase Life of Cut Lisianthus Based on Biomass-Related Characteristi cs Using AutoML)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Yesan, South Korea, by NewsRx editors, research stated, “Lisianthus, a globally popular ornamental pla nt, has a variable vase life (5-28 days).” Our news reporters obtained a quote from the research from Kongju National Unive rsity: “This study investigated biomass-related characteristics of four cultivar s grown in soil or hydroponic cultivation with different treatment timings (vege tative and reproductive stage) and concentrations (0, 0.1, 0.3, and 0.5 mM) of s alicylic acid (SA) in order to explain vase life. The results show that the SA t reatment effects varied depending on cultivar, SA treatment timing, concentratio n, and cultivation method. Principle component analysis revealed that Blue Picot e cultivar cultivated hydroponically with 0.5 mM SA at the reproductive stage ha d the longest vase life. Furthermore, vase life demonstrated a high positive cor relation with dry weight, SPAD, Mg content, and flowering day. We developed a mo del using automated machine learning algorithms to estimate postharvest vase lif e, based on biomass-related characteristics measured during the pre-harvest peri od. Similar to the PCA results, this model also identified dry weight as the mos t influential predictor of vase life.”

Key words

Kongju National University/Yesan/South Korea/Asia/Cyborgs/Emerging Technologies/Hydroxybenzoic Acids/Machine Lear ning/Salicylic Acids

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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