Kernbach Serge
CYBRES GmbH, Research Center of Advanced Robotics and Environmental Science, Melunerstr. 40, 70569 Stuttgart, Germany.
Biomimetics (Basel). 2024 Oct 18;9(10):640. doi: 10.3390/biomimetics9100640.
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 O) 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.
这项工作聚焦于生物杂交系统——带有生物传感器和驱动机制的植物,这些机制可增强生物体控制环境参数、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代表了水培、垂直种植和可控环境农业发展的下一步。所讨论方法的传感部分使用(电)生理传感器。通过电化学估算的流体输送系统的流体动力学与基于热方法提供的液流数据进行比较。体内阻抗谱能够区分植物茎中的水、养分和光合产物。除了植物生理学,该系统还测量多个空气/土壤和环境参数。驱动部分包括一个多通道电源模块,用于控制植物照明、灌溉、施肥以及空气/水制备。我们展示了基于实时生物反馈的闭环控制的几个原位测试应用。在垂直种植中,这用于优化能源和水的消耗、缩短生长时间并检测压力。生物反馈能够将微型蔬菜的生产周期从7天缩短至4 - 5天,将小麦草的生产周期从10天缩短至7 - 8天,并且,结合基于生物反馈的灌溉,豌豆生物量增加了30%。其能源优化可达25 - 30%。在环境监测中,该系统利用番茄和烟草植株对环境污染(低浓度的氧气)进行生物监测。在人工智能研究中,展示了对生物有机体的复杂探索,特别是生物钟对变化环境的适应机制。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。