Economic Contributions of the Livestock Subsector in India. Birthal, Pratap S and Rao, P Parthasarathy. New Delhi : International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) and Natio - Technology bibliographies - in Harvard style

In-text: (Bhardwaj, Nambiar and Dutta, 2017)

Your Bibliography: Bhardwaj, R., Nambiar, A. and Dutta, D., 2017. A Study of Machine Learning in Healthcare. In: IEEE 41st Annual Computer Software and Applications Conference. IEEE.

In-text: (Kharya, 2012)

Your Bibliography: Kharya, S., 2012. Using Data Mining Techniques for Diagnosis and Prognosis of Cancer Disease. International Journal of Computer Science, Engineering and Information Technology, 2(2), pp.55-66.

In-text: (Khourdifi and Bahaj, 2022)

Your Bibliography: Khourdifi, Y. and Bahaj, M., 2022. Applying Best Machine Learning Algorithms for Breast Cancer Prediction and Classification. In: International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS). Morocco: ICECOCS, pp.1-5.

In-text: (Kshirsagar et al., 2013)

Your Bibliography: Kshirsagar, D., Savalia, C., Kalyani, I., Kumar, R. and Nayak, D., 2013. Disease alerts and forecasting of zoonotic diseases: an overview. Veterinary World, 6(11), pp.889-896.

In-text: (Padmapriya and Velmurugan, 2014)

Your Bibliography: Padmapriya, B. and Velmurugan, T., 2014. A survey on breast cancer analysis using data mining techniques. In: IEEE International Conference on Computational Intelligence and Computing Research. IEEE.

In-text: (Rahman, 2022)

Your Bibliography: Rahman, H., 2022. Monitoring, surveillance and forecasting of infectious animal diseases in India. Intas Polivet, 16(2), pp.177-181.

In-text: (Raja, Mukherjee and Sarkar, 2021)

Your Bibliography: Raja, R., Mukherjee, I. and Sarkar, B., 2021. A Machine Learning-Based Prediction Model for Preterm Birth in Rural India. Journal of Healthcare Engineering, 20, pp.1-11.

In-text: (Salim and Abdulazeez, 2021)

Your Bibliography: Salim, N. and Abdulazeez, A., 2021. Human Diseases Detection Based on Machine Learning Algorithms: A Review. International Journal of Science and Business, 5(2), pp.102-113.

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In-text: (Sharma, 2022)

Your Bibliography: Sharma, H., 2022. Lumpy skin disease: Nearly 1 lakh cattle deaths, toll almost double in three weeks. The Indian Express, [online] Available at: <https://indianexpress.com/article/india/lumpy-skin-disease-punjab-haryana-hp-together-see-over-25000-deaths-8172890/> [Accessed 27 September 2022].

In-text: (Sharma and Sharma, 2018)

Your Bibliography: Sharma, P. and Sharma, A., 2018. Machine Learning: A Review of Techniques of Machine Learning. Journal of Applied Science and Computations, 5(7), pp.538-541.

In-text: (Shome et al., 2021)

Your Bibliography: Shome, B., Chethan Kumar, H., Hiremath, J., Yogisharadhya, R., Balamurugan, V., Jacob, S., Manjunatha Reddy, G., Suresh, K., Shome, R., Nagalingam, M., Sridevi, R., Patil, S., Prajapati, A., Govindaraj, G., Sengupta, P., Hemadri, D., Krishnamoorthy, P., Misri, J., Kumar, A. and Tripathi, B., 2021. Animal disease surveillance: Its importance &amp; present status in India. Indian Journal of Medical Research, 153(3), pp.299-310.

In-text: (Singh et al., 2020)

Your Bibliography: Singh, K., Singh, R., Jadoun, Y., Deshmukh, B. and Kansal, S., 2020. Role of Livestock in Indian Economy- A Review. International Journal of Current Microbiology and Applied Sciences, 9(8), pp.432-436.

In-text: (Siraj and Abdoulha, 2011)

Your Bibliography: Siraj, F. and Abdoulha, M., 2011. Mining Enrollment Data Using Descriptive and Predictive Approaches. In: Knowledge-Oriented Applications in Data Mining. Intech Open.

In-text: (Wagner et al., 2020)

Your Bibliography: Wagner, N., Antoine, V., Mialon, M., Lardy, R., Silberberg, M., Koko, J. and Veissier, I., 2020. Machine learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis. Computers and Electronics in Agriculture, 170, p.105233.