Multi-Sensor Crop Monitoring for Cacao Production (SeMoCa)
Multi-Sensor Crop Monitoring for Cacao Production (SeMoCa)
批准号:
420546347
负责人:
Professor Dr.-Ing. Giovanni del Galdo
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2022-12-31
中文摘要
可可生产多传感器作物监测(SeMoCa)是伊尔梅瑙理工学院和弗里德里希-亚历山大-纽伦堡大学与哥伦比亚麦德林玻利维亚大学合作开展的一个联合研究项目。该项目的目标是设计、调查和验证用于监测可可植物及其果实的技术系统的概念,以便为开发这一系统奠定基础(概念验证)。该系统将通过检测、监测和解释植物和水果的状况,特别是异常情况(即疾病或干旱),支持哥伦比亚的中小型可可农场增加收获幅度并改进预报。该系统由摄像机和雷达系统组成,雷达系统的测量数据被融合以用于工厂监控。与现有的农业区监测系统不同,拟议的系统是由人携带的。不同寻常的是,雷达技术用于工厂监测的移动使用,以及雷达和光学传感器的传感器数据融合。此外,应将专家(例如种植园主)的意见纳入对国家估计的解释。研究的重点是移动雷达系统的技术实现、传感器与光学传感器的数据融合(以TU Ilmenau为首)以及可可种植园(以FAU为首)的世界建模包括状态估计。此外,研究这些主题的方式应能将基本原理转移到其他植物物种上。
英文摘要
Multi-Sensor Crop Monitoring for Cacao Production (SeMoCa) is a joint research project of the Technische Unversität Ilmenau and the Friedrich-Alexander-Universität Erlangen-Nürnberg in cooperation with the Universidad Pontificia Bolivariana in Medellin, Colombia. The objective of the project is to devise, investigate and validate a concept for a technical system for monitoring cacao plants and their fruits in order to prepare the ground for a development of such a system (proof of concept). This system shall support small- and medium-scale cacao farms in Colombia to increase their harvesting margins and to improve the forecast, by detecting, monitoring and interpreting the state of the plants and fruits, particularly anomalies (i.e. diseases or drought). The system consists of a camera as well as a radar system whose measurement data are fused for plant monitoring. In contrast to existing systems for monitoring of agricultural areas the proposed system is carried by a human. Uncommon is the mobile use of radar technology for plant monitoring and the sensor data fusion of radar and a optical sensor. Furthermore, the opinion of experts (e.g. the plantation owner) shall be included into the interpretation of state estimation. The research focus is on the technical realization of the mobile radar system and the sensor data fusion with the optical sensor (lead TU Ilmenau) as well as the world modeling including state estimation of the cacao plantation (lead FAU). Additionally, these topics shall be researched in a manner that the basic principles can be transferred to other species of plants.
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