Multi-Sensor Crop Monitoring for Cacao Production (SeMoCa)

可可生产的多传感器作物监测 (SeMoCa)

基本信息

项目摘要

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.
可可生产多传感器作物监测(SeMoCa)是Ilmenau技术大学和埃尔兰根-纽伦堡弗里德里希-亚历山大大学与哥伦比亚麦德林的Pontificia Bolivariana大学合作的联合研究项目。该项目的目标是设计、调查和验证可可植物及其果实监测技术系统的概念,以便为开发这种系统奠定基础(概念验证)。该系统将支持哥伦比亚的中小型可可农场,通过检测、监测和解释植物和果实的状况,特别是异常情况(即疾病或干旱),提高收获利润并改进预测。该系统由一个摄像头和一个雷达系统组成,其测量数据被融合用于工厂监控。与现有的用于监测农业区域的系统相比,所提出的系统由人携带。不常见的是移动的使用雷达技术进行植物监测以及雷达和光学传感器的传感器数据融合。此外,专家(如种植园主)的意见应纳入状态估计的解释中。研究重点是移动的雷达系统的技术实现和传感器数据与光学传感器的融合(领导TU Ilmenau)以及世界建模,包括可可种植园的状态估计(领导FAU)。此外,这些主题的研究方式,基本原则可以转移到其他物种的植物。

项目成果

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Professor Dr.-Ing. Giovanni del Galdo其他文献

Professor Dr.-Ing. Giovanni del Galdo的其他文献

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{{ truncateString('Professor Dr.-Ing. Giovanni del Galdo', 18)}}的其他基金

Compressed Sensing in Material Diagnostics via Ultrasound Imaging (CoSMaDU)
通过超声成像进行材料诊断的压缩传感 (CoSMaDU)
  • 批准号:
    421389590
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Compressive Sensing for Sampling Multidimensional RF Signals - Architectures and Algorithms
用于采样多维射频信号的压缩感知 - 架构和算法
  • 批准号:
    289816662
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
B1: Characterization of Propagation Channels
B1:传播通道的表征
  • 批准号:
    424607629
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Units
A2: Metrology of Multi-Dimensional Channel Sounding
A2:多维通道测深计量
  • 批准号:
    424607834
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Units
Over-the-Air multilevel test bed for dynamic V2X scenarios
适用于动态 V2X 场景的无线多级测试床
  • 批准号:
    502587978
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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