Publications

Research outputs, reports, policy briefs and knowledge products from KIU scholars and partners.

2022 School of Engineering and Applied Sciences MDPI Applied Science

Livestock Management on Grazing Field: A FANET Based Approach

Mohammed A. Alanezi; Bashir O. Sadiq; Yusuf A. Sha’aban; Houssem R. E. H. Bouchekara

In recent times, designated grazing areas/fields or routes for livestock grazing are usuallydefined. Hence, their herding activities’ success relies on data extracted from aerial photographs.As such, a direct and cost-effective way of monitoring livestock for perimeter coverage and in othernatural situations is required. This paper presents a coverage solution involving multiple interactingunmanned aerial vehicles. The presented approach is built on a graph, with geographic coordinatesset such that several Unmanned Aerial Vehicles (UAVs) can successfully cover the area. The maximumflying time determines the number of UAVs employed for coverage. The proposed solution is thoughtto solve some practical problems encountered during the execution of the task with actual UAVs.It is suitable for long-term monitoring of animal behavior under various weather conditions andobserving the relationship between livestock distribution and available resources on a grazing field.The simulation was carried out using MATLAB and aerial images from Google Earth.