The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency, reduction of chemical treatments, and the optimization of human effort and yield. With this vision, the Flourish research project aimed to develop an adaptable robotic solution for precision farming that combines the aerial survey capabilities of small autonomous unmanned aerial vehicles (UAVs) with targeted intervention performed by multi-purpose unmanned ground vehicles (UGVs). This paper presents an overview of the scientific and technological advances and outcomes obtained in the project. We introduce multi-spectral perception algorithms and aerial and ground-based systems developed for monitoring crop density, weed pressure, crop nitrogen nutrition status, and to accurately classify and locate weeds. We then introduce the navigation and mapping systems tailored to our robots in the agricultural environment, as well as the modules for collaborative mapping. We finally present the ground intervention hardware, software solutions, and interfaces we implemented and tested in different field conditions and with different crops. We describe a real use case in which a UAV collaborates with a UGV to monitor the field and to perform selective spraying without human intervention.
翻译:由于自主机器人在农业中的应用对粮食安全、可持续性、资源使用效率、减少化学治疗以及优化人类努力和产量的高度影响,自主机器人在农业中的应用越来越受欢迎。根据这一愿景,面粉研究项目旨在开发一种适用于精密耕作的可变机器人解决方案,将小型自主无人驾驶飞行器(UAVs)的空中勘测能力与多用途无人驾驶地面飞行器(UGVs)实施的定向干预结合起来。本文件概述了该项目的科技进步和成果。我们引入了多谱谱感知算法以及空中和地面系统,这些系统是为了监测作物密度、杂草压力、作物氮营养状况以及准确分类和定位而开发的杂草。我们随后引入了适合我们在农业环境中的机器人的导航和绘图系统,以及协作绘图模块。我们最后介绍了在不同的实地条件下和不同作物中实施和测试的地面干预硬件、软件解决方案和接口。我们描述了一个实际使用的案例,即UAV与UGV合作监测实地情况,在没有人类干预的情况下进行选择性喷洒。