A machine vision algorithm for an agricultural unmanned aerial vehicle

Authors: Voronin A.V.
Published in issue: #8(13)/2017
DOI: 10.18698/2541-8009-2017-8-151
Category: Aviation and Rocket-Space Engineering | Chapter: Aircrafts Development, Design and Manufacture
Keywords: hyperspectral imaging, UAV, NDVI, aerial photography, machine vision, heterogeneous robots, group control, decentralised method
Published: 12.07.2017

The study presents a pressing issue of monitoring agricultural crops and suggests solving it by using a group of robots. We consider the problem of detecting regions of faded plants with the help of heterogeneous robots. We developed a functional flow block diagram of an agricultural system and a detection algorithm that solves the problem posed in several steps. We chose a hyperspectral imaging method for recognition. We selected and validated a suitable strategy of group control. The article describes the process of monitoring crops with the help of an UAV, highlights its advantages and disadvantages. We also supply a description of the colour recognition algorithm. We used the MATLAB environment to develop our algorithm.

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