China Dairy ›› 2024, Vol. 0 ›› Issue (11): 74-79.doi: 10.12377/1671-4393.24.11.13
• SMART FARMING • Previous Articles Next Articles
XU Yuan, GUO Kaijun*
[1] Yongfeng L,Hang S,Jérôme B,et al.Classification and analysis of multiple cattle unitary behaviors and movements based on machine learning methods[J].Animals,2022,12(9):1060-1060. [2] S E F,L D S,M G C, et al.Developing a simulated online model that integrates GNSS,accelerometer and weather data to detect parturition events in grazing sheep: A machine learning approach[J].Animals,2021,11(2):303-303. [3] Lessire F,Moula N,Hornick J L,et al.Systematic review and meta-analysis:identification of factors influencing milking frequency of cows in automatic milking systems combined with grazing[J].Animals:an Open Access Journal from MDPI,2020,10(5):913. [4] Peng D,Chen S,Li G,et al.Infrared thermography measured body surface temperature and its relationship with rectal temperature in dairy cows under different temperature-humidity indexes[J].International Journal of Biometeorology,2019,63(3):327-336. [5] Venu K M,Rajalakshmi S,S B,et al. Data security tolerance and portable based energy-efficient framework in sensor networks for smart grid environments[J].Sustainable Energy Technologies and Assessments,2022:52(PB):102184.1-102184.10 [6] Ghazel A Sharifa A.The effectiveness of depth data in liveness face Authentication using 3D sensor cameras.[J].Sensors (Basel, Switzerland),2019,19(8):1928-1928. [7] Tomas T,Hans N .Temporal calibration and synchronization of robotic total stations for kinematic multi-sensor-systems[J].Journal of Applied Geodesy,2020,15(1):13-30. [8] John B,Der V M V,Henk H,et al. Forecasting chronic mastitis using automatic milking system sensor data and gradient-boosting classifiers[J].Computers and Electronics in Agriculture,2022,198:1-9. |
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