Author:
Sreenivasulu K.,Khan H. Aini Sosan,Damini K.,Akhila M.,Bharathi G.
Publisher
Springer Nature Switzerland
Reference25 articles.
1. Ahmed, G., Malick, R.A.S., Akhunzada, A., Zahid, S., Sagri, M.R., Gani, A.: An approach towards IoT-based predictive service for early detection of diseases in poultry chickens. Sustainability 13(23), 13396 (2021)
2. Cuan, K., Zhang, T., Li, Z., Huang, J., Ding, Y., Fang, C.: Automatic newcastle disease detection using sound technology and deep learning method. Comput. Electron. Agric. 194, 106740 (2022)
3. Neethirajan, S.: ChickTrack–a quantitative tracking tool for measuring chicken activity. Measurement 191, 110819 (2022)
4. Adebiyi, A.I., Mcilwaine, K., Oluwayelu, D.O., Smyth, V.J.: Detection and characterization of chicken astrovirus associated with hatchery disease in commercial day-old turkeys in southwestern Nigeria. Adv. Virol. 166, 1607–1614 (2021)
5. Bakar, M.A.A., Ker, P.J., Tang, S.G., Lee, H.J., Zainal, B.S.: Classification of unhealthy chicken based on chromaticity of the comb. In: 2022 IEEE International Conference on Computing (ICOCO), pp. 1–5. IEEE (2022)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献