Construction and Measurement Technology of the ThünoCopter for Contactless Inspection of Crop Canopies: First Measurements with a Low-Cost Image Analyzing System

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Title:Main Title: Construction and Measurement Technology of the ThünoCopter for Contactless Inspection of Crop Canopies: First Measurements with a Low-Cost Image Analyzing System
Description:Abstract: This work is about the mechanical construction and the measurement system of the ThuenoCopter. Both, the mechanical construction and the measurement system (sensors, 32 bit microcontroller board and image analyzing system) of the ThuenoCopter will be presented and first measurements of the low-cost image analyzing system will be shown. Climate changes and limited natural resources are the challenges for agriculture in a world where the population is still increasing and farm land may be decreasing for the next 50 years. On the one hand plant breeders need tools to measure many parameters like crop cover, crop temperature, etc. which are important for an optimal growth of plants. On the other hand improved conservative production methods for a sustainable agriculture can only be developed and tested practically if these parameters can be measured reliably and the relationship between these parameters and the plant growth is well known. The composition of the soil, the climate conditions, the supply with water and fertilizer and the use of plant protection chemicals determine the growth of every crop during its vegetation period. In order to have a UAV-based method for contactless crop inspection during the vegetation period - from tillage to harvesting - the ThuenoCopter has been developed on the base of an Oktokopter by Mikrokopter. The ThuenoCopter has a height of approx. 50 cm and its diameter is approx. 1 m. While flying along predefined routes, the measurement system of the ThuenoCopter measures the crop temperature, the air humidity and temperature, the global radiation, and it takes photos which are processed onboard in near real-time with the aim of detecting rows and weeds. The ThuenoCopter has been developed and optimized in weight and robustness (mechanical and electrical construction). A low-cost image analyzing system has been brought into operation. First measurements will be shown and discussed. Afterwards an outlook for improvements and further research activities is given.
Identifier:10.5880/TR32DB.KGA94.10 (DOI)
Responsible Party
Creators:Heiko Neeland (Author), Martin Kraft (Author)
Contributors:Juliane Bendig (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Publication Year:2014
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Filename:Neeland_and_Kraft_2013_KGA94.pdf
Data Type:Text - Book Section
Sizes:7 Pages
1159 Kilobytes
File Size:1.1 MB
Date:Issued: 14.04.2014
Mime Type:application/pdf
Language:English
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Metadata Creator:Constanze Curdt
Metadata Created:17.04.2014
Metadata Last Updated:17.04.2014
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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