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Galileo Enhanced Solution for Pest Detection and Control in Greenhouses with Autonomous Service Robots

机译:伽利略增强了对自治服务机器人的温室中的害虫检测和控制的解决方案

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European agriculture is facing numerous challenges such as population growth, climate change, resource shortages and increased competition, and hence the challenge today is to produce “more with less”. Greenhouses protect crops from adverse weather conditions allowing year-round production and integrated crop management approaches provide better control over pests and diseases. However, without adequate controls the intensification of greenhouse crop production can create favourable conditions for devastating infestation. The Horizon 2020 (H2020) GreenPatrol project has developed an innovative and efficient robotic solution for Integrated Pest Management in crops, which has the ability to navigate inside greenhouses while performing early pest detection and control tasks in an autonomous way. The main developments include precise positioning to allow autonomous navigation and provide accurate and detailed pest maps in greenhouses (light indoor environments), perception with visual sensing for on-line pest detection, and strategies for manipulation and motion planning based on pest monitoring feedback. This paper presents an overview of the GreenPatrol system, including the localization and navigation functions and the pest detection abilities, and shows results of real-time demonstrations of the system in a representative environment.
机译:欧洲农业今天所面临的诸多挑战,如人口增长,气候变化,资源短缺和竞争加剧,因此面临的挑战是产生“事半功倍”。从大棚恶劣天气条件允许全年生产综合作物管理方法提供了病虫害更好的控制保护庄稼。然而,如果没有适当的控制温室作物生产集约化可以创建毁灭性为患了有利条件。在展望2020(H2020)GreenPatrol项目已经开发了作物病虫害综合治理的创新和高效的机器人解决方案,它有能力来导航大棚内,同时在自主的方式进行病虫害的早期检测和控制任务。主要进展包括精确的定位,以允许自主导航和用于操纵和基于害虫监视反馈运动规划提供在温室中准确和详细的害虫映射(光室内环境)中,用对上线虫害检测视觉传感感知,和战略。本文介绍了GreenPatrol系统的概述,包括有代表性的环境中的定位和导航功能和害虫检测能力,以及系统的实时演示显示结果。

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