Publicação
Wildlife conservation using UAV and LoRa network
| Resumo: | Many animal species are on the verge of extinction due to poaching and changes in land use, such as the destruction of forest areas to the detriment of agriculture, logging, and the construction of new towns and cities. Therefore, regular monitoring of animal populations is necessary to ensure the protection of wildlife, especially when pressure on animals is high, and conservation management requires reliable and up-to-date data on land use, the size of animal populations, and the distribution of resources in highly variable ecosystems. In this context, we would like to contribute to the process of automating conventional methods, taking advantage of the Internet of Things (IoT) paradigm, which has evolved rapidly in recent years, and emerging digital technologies such as Low-Power Wide-Area Networks (LPWAN) and the rapid growth of Unmanned Aerial Vehicles (UAVs), also known as Drones. Therefore, this study proposes a wildlife monitoring system based on acoustic detection, using LoRa networks assisted by UAVs that act as mobile gateways to collect data from sensors on the ground. This aims to contribute to the protection of fauna in Angola by helping forest rangers to obtain actionable data from their operations. To check that the proposed system works correctly, tests were carried out in a simulation environment, verifying the correct transmission of data from the sensors to the data center. However, this technique provides a more sustainable and scalable monitoring method, minimizing human effort. |
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| Autores principais: | João, Adalberto Mendes |
| Assunto: | Wildlife conservation Endangered species Bioacoustic monitoring IoT LoRa UAV Conservação da vida selvagem Espécies em perigo Monitorização bioacústica |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso embargado |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Many animal species are on the verge of extinction due to poaching and changes in land use, such as the destruction of forest areas to the detriment of agriculture, logging, and the construction of new towns and cities. Therefore, regular monitoring of animal populations is necessary to ensure the protection of wildlife, especially when pressure on animals is high, and conservation management requires reliable and up-to-date data on land use, the size of animal populations, and the distribution of resources in highly variable ecosystems. In this context, we would like to contribute to the process of automating conventional methods, taking advantage of the Internet of Things (IoT) paradigm, which has evolved rapidly in recent years, and emerging digital technologies such as Low-Power Wide-Area Networks (LPWAN) and the rapid growth of Unmanned Aerial Vehicles (UAVs), also known as Drones. Therefore, this study proposes a wildlife monitoring system based on acoustic detection, using LoRa networks assisted by UAVs that act as mobile gateways to collect data from sensors on the ground. This aims to contribute to the protection of fauna in Angola by helping forest rangers to obtain actionable data from their operations. To check that the proposed system works correctly, tests were carried out in a simulation environment, verifying the correct transmission of data from the sensors to the data center. However, this technique provides a more sustainable and scalable monitoring method, minimizing human effort. |
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