Roldán Juan Jesús, Garcia-Aunon Pablo, Garzón Mario, de León Jorge, Del Cerro Jaime, Barrientos Antonio
Centre for Automation and Robotics (UPM-CSIC), José Gutiérrez Abascal, 2, Madrid 28006, Spain.
Sensors (Basel). 2016 Jul 1;16(7):1018. doi: 10.3390/s16071018.
The productivity of greenhouses highly depends on the environmental conditions of crops, such as temperature and humidity. The control and monitoring might need large sensor networks, and as a consequence, mobile sensory systems might be a more suitable solution. This paper describes the application of a heterogeneous robot team to monitor environmental variables of greenhouses. The multi-robot system includes both ground and aerial vehicles, looking to provide flexibility and improve performance. The multi-robot sensory system measures the temperature, humidity, luminosity and carbon dioxide concentration in the ground and at different heights. Nevertheless, these measurements can be complemented with other ones (e.g., the concentration of various gases or images of crops) without a considerable effort. Additionally, this work addresses some relevant challenges of multi-robot sensory systems, such as the mission planning and task allocation, the guidance, navigation and control of robots in greenhouses and the coordination among ground and aerial vehicles. This work has an eminently practical approach, and therefore, the system has been extensively tested both in simulations and field experiments.
温室的生产力高度依赖于作物的环境条件,如温度和湿度。控制和监测可能需要大型传感器网络,因此,移动传感系统可能是更合适的解决方案。本文描述了一个异构机器人团队在监测温室环境变量方面的应用。该多机器人系统包括地面和空中车辆,旨在提供灵活性并提高性能。多机器人传感系统测量地面和不同高度处的温度、湿度、光照度和二氧化碳浓度。然而,这些测量可以不费太多力气地用其他测量(如各种气体的浓度或作物图像)加以补充。此外,这项工作解决了多机器人传感系统的一些相关挑战,如任务规划和任务分配、温室中机器人的引导、导航和控制以及地面和空中车辆之间的协调。这项工作具有非常实际的方法,因此,该系统已在模拟和现场实验中进行了广泛测试。