Precision technologies for the management of reproduction in dairy cows
Author:
Publisher
Springer Science and Business Media LLC
Subject
Animal Science and Zoology,Food Animals
Link
https://link.springer.com/content/pdf/10.1007/s11250-023-03704-2.pdf
Reference84 articles.
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2. Adin, G., Solomon, R., Shoshani, E., Flamenbaum, I., Nikbachat, M., Yosef, E., ... and Miron, J., 2008. Heat production, eating behavior and milk yield of lactating cows fed two rations differing in roughage content and digestibility under heat load conditions. Livestock Science, 119(1-3), 145-153.
3. Aleluia, V. M., Soares, V. N., Caldeira, J. M., and Rodrigues, A. M., 2022. Livestock Monitoring: Approaches, Challenges and Opportunities. International Journal of Engineering and Advanced Technology, 11(4), 67-76.
4. Alvarez, J. R., Arroqui, M., Mangudo, P., Toloza, J., Jatip, D., Rodríguez, J. M., ... and Mateos, C. 2018. Body condition estimation on cows from depth images using Convolutional Neural Networks. Computers and Electronics in Agriculture, 155, 12-22.
5. Anglart, D., 2014. Automatic estimation of body weight and body condition score in dairy cows using 3D imaging technique.
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