Robotics & Machine Learning Daily News2024,Issue(Nov.29) :273-274.

Decrypting the complex phenotyping traits of plants by machine learning

植物复杂表型性状的机器学习解密

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :273-274.

Decrypting the complex phenotyping traits of plants by machine learning

植物复杂表型性状的机器学习解密

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-根据基于预印摘要的新闻报道,我们的记者获得了以下引自BI orxiv.org:“表型,定义了生物体的行为和物理属性,产生于复杂性,遗传、发育和环境的动态相互作用,它们的相互作用使其产生巨大的在给定时刻预测植物未来表型性状具有挑战性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org: “Phenotypes, defining an organism\’s behaviour and phy sical attributes, arise from the complex,dynamic interplay of genetics, develop ment, and environment, whose interactions make it enormouslychallenging to fore cast future phenotypic traits of a plant at a given moment.

Key words

Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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