当前位置: X-MOL 学术Appl. Plant Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A noninvasive, machine learning-based method for monitoring anthocyanin accumulation in plants using digital color imaging.
Applications in Plant Sciences ( IF 3.6 ) Pub Date : 2019-11-10 , DOI: 10.1002/aps3.11301
Bryce C Askey 1 , Ru Dai 1 , Won Suk Lee 2 , Jeongim Kim 1
Affiliation  

When plants are exposed to stress conditions, irreversible damage can occur, negatively impacting yields. It is therefore important to detect stress symptoms in plants, such as the accumulation of anthocyanin, as early as possible.

中文翻译:

一种基于机器学习的非侵入性方法,使用数字彩色成像监测植物中花青素的积累。

当植物暴露在胁迫条件下时,可能会发生不可逆转的损害,从而对产量产生负面影响。因此,尽早检测植物的胁迫症状(例如花青素的积累)非常重要。
更新日期:2019-11-10
down
wechat
bug