📚 Volume 32, Issue 9
📋 ID: 73QNBSJ
Authors
Aisha Nguyen, Raj Patel, Mei-Ling Chen, Carlos da Silva
, Hiroshi Persson, Fernando Eriksson, Karl Weber
Department of Environmental Science, University of São Paulo, São Paulo, Brazil
Keywords
Biodiversity Monitoring
Sensor Networks
Tropical Rainforests
Environmental Conservation
Abstract
This study explores the application of advanced sensor networks for monitoring biodiversity in tropical rainforests. These networks are crucial for collecting data on various environmental parameters, including temperature, humidity, and species presence. By utilizing a Natural Language Interface, non-specialists can access and interpret this data, enabling broader participation in conservation efforts. The system facilitates real-time data analysis, significantly enhancing the accuracy and efficiency of environmental monitoring. Initial trials in the Amazon rainforest indicate a 92% accuracy in species detection and habitat condition assessment, demonstrating the system's potential for global ecological applications.
🔐
Login to Download PDF
Please login with your Paper ID and password to access the full PDF.
🔑 Login to Download
📝 How to Cite
Aisha Nguyen, Raj Patel, Mei-Ling Chen, Carlos da Silva , Hiroshi Persson, Fernando Eriksson, Karl Weber (2025).
"Biodiversity Assessment Using Sensor Networks in Tropical Rainforests".
Wulfenia, 32(9).