Netzwerkbasiertes Multi-Sensor-Messsystem für eine automatische Bewässerung von Nutzpflanzenbeständen im Gewächshaus (PLANTSENS) / Multi-sensor Network-based Measuring System for Automatic Irrigation of Crop Stands in Greenhouses (PLANTSENS)

Lukasz Rojek, Klaus Hehl, M. Möller, Markus Richter, Monika Bischoff-Schaefer
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引用次数: 1

Abstract

The R&D project PLANTSENS, funded by the Federal Ministry of Food and Agriculture (BMEL) and managed by the Federal Office for Agriculture and Food (BLE), runs for three years (FKZ 2815701615) and it focuses primarily on automated crop irrigation in the open field and protected areas (e. g. glasshouses). Water is one of the essential resources for all plants and absorbs in the shortwave and middle infrared spectrum. It has a major impact on plant growth and prospective yield. Within the framework of this project, a prototype of a photogrammetric measuring system for automated determination of the crop water demand will be developed. The digital imagery recorded by the multispectral camera system is processed and analysed in real-time for an automated irrigation procedure for plants with respect to their sites of growth. This paper explains the functions and the technical structure of this monitoring system.
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基于网络的多传感器测序系统自动灌溉温室作物库存
研发项目PLANTSENS由联邦粮食和农业部(BMEL)资助,由联邦农业和食品办公室(BLE)管理,运行三年(FKZ 2815701615),主要侧重于开放农田和保护区(如温室)的自动作物灌溉。水是所有植物必需的资源之一,吸收短波和中红外光谱。它对植物生长和预期产量有重大影响。在这个项目的框架内,将开发一个用于自动确定作物需水量的摄影测量系统的原型。多光谱相机系统记录的数字图像被实时处理和分析,用于植物生长位置的自动灌溉程序。本文阐述了该监控系统的功能和技术结构。
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来源期刊
AGIT- Journal fur Angewandte Geoinformatik
AGIT- Journal fur Angewandte Geoinformatik Earth and Planetary Sciences-Computers in Earth Sciences
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