Eyes on nature: Embedded vision cameras for multidisciplinary biodiversity monitoring
K. F. A. Darras, M. Balle, W. Xu, Y. Yan, V. G. Zakka, M. Toledo-Hernandez, D. Sheng, W. Lin, B. Zhang, Z. Lan, L. Fupeng, T. C. Wanger
The paper introduces a portable, low-power embedded vision camera system for biodiversity monitoring, demonstrating its application across multiple ecological disciplines with classification accuracies between 55% and 96%.
bioRxiv · Jul 26, 2023 · PreprintEcology