Development of a Monitoring System against Illegal Deforestation in the Amazon Rainforest Using Artificial Intelligence Algorithms
| Autor: | Thiago Almeida Teixeira, Neilson Luniere Vilaça, Andre Luiz Printes, Raimundo Claúdio Souza Gomes, Israel Gondres Torné, Thierry-Yves Alves Araújo, Arlley Gabriel Dias e Dias |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Engineering Proceedings, Vol 58, Iss 1, p 21 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2673-4591 75668335 |
| DOI: | 10.3390/ecsa-10-16188 |
| Popis: | The Amazon Rainforest represents one-third of the world’s tropical forest area. This makes it indispensable for maintaining global biodiversity. However, the increasing occurrences of wildfires and deforestation in the region are notorious. In this sense, it is essential to protect forests to ensure quality of life for future generations and prevent damage that affects the entire planet. In this work, a real-time monitoring device is proposed to identify attempts at deforestation through audio signals from tractors and chainsaws, using embedded artificial intelligence (AI). Additionally, it is capable of communicating with a base station, reaching distances close to 1 km in dense forest, through long-range (LoRa) communication. A user interface is also developed, providing daily alerts such as attack identification, occurrence times, device locations, and battery status. The system has an average power consumption of around 300 nA, employing power management methods defined as ultra-low power mode, sleep mode, prediction mode, and transmission mode. Hence, the device has the potential to promote the sustainable preservation of the Amazon Rainforest, helping to prevent large-scale illegal deforestation. |
| Databáze: | Directory of Open Access Journals |
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