Automated evaluation of agricultural damage using UAV survey

Author:

Stojcsics Daniel1,Molnar Andras1

Affiliation:

1. Institute of Applied Informatics, John von Neumann Faculty of Informatics , Óbuda University , Hungary

Abstract

Abstract In the last decade modern agriculture used significant resources for automated evaluation. Game damage and crop evaluation and prediction are the main focus of the precision agriculture. At John von Neumann Faculty of Informatics, Óbuda University, Hungary, researchers together with agricultural experts are developing automated evaluation methods for high-resolution survey data. With the locally developed unmanned aerial vehicles (UAVs) the agricultural survey can be easily done for 1-2km2 area from a single flight. The paper presents the detailed method of the early steps of the automated evaluation using Matlab and the comparison of results to the GIS data.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference14 articles.

1. [1] Molnár, A., Stojcsics, D., Lovas, I., “Precision agricultural and game damage analysis application for unmanned aerial vehicles”, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND INFORMATICS 1:(10) pp. 38-43. (2016)

2. [2] Molnár, A., Stojcsics, D., “GPGPU accelerated large scale 3D object reconstruction application for fixed and rotary wing unmanned aerial vehicles”, INTERNATIONAL JOURNAL OF SYSTEMS APPLICATIONS - ENGINEERING & DEVELOPMENT 1:(10) pp. 189-194. (2016)

3. [3] Harwin, S., Lucieer, A., “Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery”, Remote Sensing 2012, 4, 1573-1599; doi:10.3390/rs40615710.3390/rs406157

4. [4] Küng, O., Strecha, C., Beyeler, A., Zufferey, J-C., Floreano, D., Fua, P., Gervaix, F., “The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery” In Proceedings of the International Conference on Unmanned Aerial Vehiclein Geomatics (UAV-g), Zurich, Switzerland, 14–16 September 2011; In IAPRS; 2011; Volume 38.

5. [5] Turner, D., Lucieer, A., Wallace, L., “Direct georeferencing of ultra high resolution UAV imagery”, (2014) IEEE Transactions on Geoscience and Remote Sensing, 52 (5), art. no. 6553130, pp. 2738-2745.10.1109/TGRS.2013.2265295

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