基于生物反馈的闭环植物动力在垂直耕作和可控环境农业中的应用。

IF 3.4 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY
Serge Kernbach
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引用次数: 0

摘要

这项工作的重点是生物杂交系统--带有生物传感器和驱动机制的植物,可增强生物有机体控制环境参数、优化生长条件或应对压力因素的能力。基于生物反馈的植物驱动是水培、垂直耕作和可控环境农业的下一步发展方向。所讨论方法的传感部分使用(电)生理传感器。通过电化学方法估算出的流体运输系统的流体动力学与基于热量的方法提供的液流数据进行了比较。活体阻抗光谱法可以分辨植物茎干中的水、营养物质和光合作用物质。除植物生理学外,该系统还能测量多个空气/土壤和环境参数。执行部分包括一个多通道电源模块,用于控制植物光照、灌溉、施肥和空气/水制备。我们展示了基于实时生物反馈的闭环控制的几种经过测试的现场应用。在垂直耕作中,它被用于优化能源和水的消耗、缩短生长时间和检测压力。生物反馈能够将微绿生产周期从 7 天缩短到 4-5 天,将小麦草的生产周期从 10 天缩短到 7-8 天,结合基于生物反馈的灌溉,豌豆的生物量增加了 30%。其能源优化可达到 25-30%。在环境监测方面,该系统利用番茄和烟草植物对环境污染(低浓度 O3)进行生物监测。在人工智能研究方面,对生物有机体进行了复杂的探索,特别是昼夜节律钟对环境变化的适应机制。本文介绍了一种植物传感器系统,描述了其电化学测量方法,并讨论了其测试应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biofeedback-Based Closed-Loop Phytoactuation in Vertical Farming and Controlled-Environment Agriculture.

This work focuses on biohybrid systems-plants with biosensors and actuating mechanisms that enhance the ability of biological organisms to control environmental parameters, to optimize growth conditions or to cope with stress factors. Biofeedback-based phytoactuation represents the next step of development in hydroponics, vertical farming and controlled-environment agriculture. The sensing part of the discussed approach uses (electro)physiological sensors. The hydrodynamics of fluid transport systems, estimated electrochemically, is compared with sap flow data provided by heat-based methods. In vivo impedance spectroscopy enables the discrimination of water, nutrient and photosynthates in the plant stem. Additionally to plant physiology, the system measures several air/soil and environmental parameters. The actuating part includes a multi-channel power module to control phytolight, irrigation, fertilization and air/water preparation. We demonstrate several tested in situ applications of a closed-loop control based on real-time biofeedback. In vertical farming, this is used to optimize energy and water consumption, reduce growth time and detect stress. Biofeedback was able to reduce the microgreen production cycle from 7 days to 4-5 days and the production of wheatgrass from 10 days to 7-8 days, and, in combination with biofeedback-based irrigation, a 30% increase in pea biomass was achieved. Its energy optimization can reach 25-30%. In environmental monitoring, the system performs the biological monitoring of environmental pollution (a low concentration of O3) with tomato and tobacco plants. In AI research, a complex exploration of biological organisms, and in particular the adaptation mechanisms of circadian clocks to changing environments, has been shown. This paper introduces a phytosensor system, describes its electrochemical measurements and discusses its tested applications.

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来源期刊
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
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