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一种基于 CO 测量的简单自适应差分算法,用于评估环境波动下植物的生长情况。

A simple adaptive difference algorithm with CO measurements for evaluating plant growth under environmental fluctuations.

机构信息

Department of Mechanical System Engineering, Yamagata University, Yamagata, 992-8510, Japan.

Department of Mechanical Engineering, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo, 135-8548, Japan.

出版信息

BMC Res Notes. 2022 Feb 14;15(1):48. doi: 10.1186/s13104-022-05929-0.

Abstract

OBJECTIVE

The aim of this study is to demonstrate an adaptive method that is robust toward environmental fluctuations and provides a real-time measure of plant growth by measuring CO consumption. To verify the validity of the proposed method, the relation between the plant growth and variation in light conditions with a closed experimental system was investigated.

RESULTS

The proposed method was used to measure the photosynthetic rate induced by photosynthetic photon flux density (PPFD) and to evaluate plant growth under continuous and pulsed light in arugula plants. The PPFD-dependent change in photosynthetic rate was measured. And in the condition range of 200-10,000 μs pulse period and 50% duty ratio of pulsed light, there was no change in the growth rate of plants assuming the same PPFD as continuous light. These experiments showed the validity of the adaptive method in removing environmental fluctuations without precise control of temperature and humidity.

摘要

目的

本研究旨在展示一种自适应方法,该方法能够稳健地应对环境波动,并通过测量 CO2 消耗来实时测量植物生长。为了验证所提出方法的有效性,我们研究了在封闭实验系统中,植物生长与光照条件变化之间的关系。

结果

该方法用于测量由光合光子通量密度(PPFD)诱导的光合速率,并评估在羽衣甘蓝植物中连续和脉冲光下的植物生长。测量了光合速率随 PPFD 的变化。并且在脉冲光的周期为 200-10000 μs 且占空比为 50%的条件范围内,假设连续光的相同 PPFD 下,植物的生长速率没有变化。这些实验表明,该自适应方法在不精确控制温度和湿度的情况下,能够有效地去除环境波动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ab/8842854/5def2b10f45d/13104_2022_5929_Fig1_HTML.jpg

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