UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution

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dc.citation.issue19
dc.citation.volume13
dc.contributor.authorJi W
dc.contributor.authorLuo Y
dc.contributor.authorLiao Y
dc.contributor.authorWu W
dc.contributor.authorWei X
dc.contributor.authorYang Y
dc.contributor.authorShen Y
dc.contributor.authorMa Q
dc.contributor.authorHe X
dc.contributor.authorYi S
dc.contributor.authorSun Y
dc.date.accessioned2023-10-11T22:22:34Z
dc.date.available2023-10-11T22:22:34Z
dc.date.issued2023-09-29
dc.date.updated2023-10-11T03:36:31Z
dc.description.abstractGrazing management is one of the most widely practiced land uses globally. Quantifying the spatiotemporal distribution of livestock is critical for effective management of livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions for livestock dynamic monitor and key parameters quantification under actual grazing situations. In this study, we proposed a pragmatic method for quantifying the grazing density (GD) and herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three typical household pastures on the Qinghai-Tibetan Plateau, China. We found that: (1) yak herds grazing followed a rotational grazing pattern spontaneously within the pastures, (2) Dispersion Index of yak herds varied as an M-shaped curve within one day, and it was the lowest in July and August, and (3) the average distance between the yak herd and the campsites in the cold season was significantly shorter than that in the warm season. In this study, we developed a method to characterize the dynamic GD and HP of yak herds precisely and effectively. This method is ideal for studying animal behavior and determining the correlation between the distribution of pastoral livestock and resource usability, delivering critical information for the development of grassland ecosystem and the implementation of sustainable grassland management.
dc.description.confidentialfalse
dc.identifier3069
dc.identifier.citationJi W, Luo Y, Liao Y, Wu W, Wei X, Yang Y, Shen Y, Ma Q, He X, Yi S, Sun Y. (2023). UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution. Animals. 13. 19.
dc.identifier.doi10.3390/ani13193069
dc.identifier.elements-typejournal-article
dc.identifier.harvestedMassey_Dark
dc.identifier.issn2076-2615
dc.publisherMDPI AG
dc.relation.isPartOfAnimals
dc.rightsCC BY 4.0
dc.rights(c) 2023 The Author/s
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleUAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution
dc.typeJournal article
pubs.elements-id480864
pubs.organisational-groupCollege of Sciences
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