EPISODE · Jul 24, 2026 · 27 MIN
第106期:硅基算法遇见碳基羽翼 - 跨越物种的双向奔赴
from 鸟瘾综合征
人类对鸟类的痴迷自古有之,而且传统的鸟类研究也充满艰辛。科学家常有的最大的难题莫过于“认鸟”:在外观相似的鸟类中,如何分辨谁是“张三”谁是“李四”?现在,AI成了科研利器。在个体识别上,科学家发明了“鸟脸打卡机”。在行为学研究中,机器鸟“芬哥”惊艳亮相。在工业防范方面,风电场利用双目立体视觉和三级虚拟围栏技术,精准区分几百米外的猛禽和一般鸟类,实现“按需停机”。中间的就是机械鸟“芬哥”参考文献:Ferreira, A. C., Silva, L. R., Renna, F., Brandl, H. B., Renoult, J. P., Farine, D. R., Covas, R., & Doutrelant, C. (2020). Deep learning-based methods for individual recognition in small birds.Methods in Ecology and Evolution, 11(9), 1072–1085. DOI : 10.1111/2041-210X.13436Simon, R., Varkevisser, J., Mendoza, E., Hochradel, K., Elsinga, R., Wiersma, P. G., Middelburg, E., Zoeter, E., Scharff, C., Riebel, K., & Halfwerk, W. (2023). RoboFinch: A versatile audio-visual synchronised robotic bird model for laboratory and field research on songbirds.Methods in Ecology and Evolution, 14(4), 1092–1103. DOI : 10.1111/2041-210X.14063Goodman, B. D., Lima, K. A., Benz, S., Fisichelli, N. A., & Kitzes, J. (2025). Humans outperform Merlin Sound ID in field-based point-count surveys.Ornithological Applications, 127(4), duaf049. DOI : 10.1093/ornithapp/duaf049Chalmers, C., Fergus, P., Wich, S., Longmore, S. N., Walsh, N. D., Oliver, L., Warrington, J., Quinlan, J., & Appleby, K. (2025). AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10.Remote Sensing, 17(5), 769. DOI : 10.3390/rs17050769Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021). BirdNET: A deep learning solution for avian diversity monitoring.Ecological Informatics, 61, 101236. DOI : 10.1016/j.ecoinf.2021.101236Brighton, C., Clarke, J., & Boersch-Supan, P. (2025). Scientific support to the trial of Spoor AI at the European Offshore Wind Deployment Centre.BTO Research Report, 781, 109.Klar, N., Gifary, N., Ziegler, F. P. G., Sehnke, F., Kaifel, A., Price, E., & Ahmad, A. (2025). BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines.arXiv preprint arXiv:2508.18136.Mund, J.-P., & Rieger, S. (2023). Remote Sensing Methods Combined with Anti-collision Systems to Reduce Avian Collisions with Wind Turbines, Facilitating the Energy Transition.Advances in GIScience, 2(2), 69–87. DOI : 10.1553/giscience2023_02_s69BGM:Will you love me tomorrow - Carole King
Embed this episode
Ready to play
第106期:硅基算法遇见碳基羽翼 - 跨越物种的双向奔赴
No transcript for this episode yet
Similar Episodes
No similar episodes found.